git-svn-id: svn://svn.code.sf.net/p/wiigee/code/trunk@57 c7eff9ee-dd40-0410-8832-91a4d88773cf

src/control/WiimoteDeviceDiscovery.java

@@ -0,0 +1,108 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package control;
+
+import java.io.IOException;
+import java.util.Vector;
+
+import javax.bluetooth.DeviceClass;
+import javax.bluetooth.DiscoveryListener;
+import javax.bluetooth.RemoteDevice;
+import javax.bluetooth.ServiceRecord;
+
+import util.Log;
+
+import device.Wiimote;
+
+public class WiimoteDeviceDiscovery implements DiscoveryListener {
+
+	private Vector<RemoteDevice> devices;
+	private boolean isInquiring;
+	private Object lock;
+
+	public WiimoteDeviceDiscovery(Object lock) {
+		super();
+		this.lock=lock;
+		this.devices = new Vector<RemoteDevice>();
+		//this.isInquiring=true;
+	}
+
+	public void deviceDiscovered(RemoteDevice newdevice, DeviceClass devclass) {
+		Log.write("Device discovered: "
+				+ newdevice.getBluetoothAddress() + " - ");
+		// add the device to the vector
+		if (!devices.contains(newdevice)
+				&& devclass.getMajorDeviceClass() == 1280
+				&& devclass.getMinorDeviceClass() == 4) {
+			Log.write("Is a Wiimote!");
+			devices.addElement(newdevice);
+		} else {
+			Log.write("Is NOT a Wiimote!");
+		}
+	}
+
+	public void inquiryCompleted(int discType) {
+		switch (discType) {
+		case WiimoteDeviceDiscovery.INQUIRY_COMPLETED:
+			Log.write("Inquiry completed.");
+			break;
+
+		case WiimoteDeviceDiscovery.INQUIRY_ERROR:
+			Log.write("Inquiry error.");
+			break;
+
+		case WiimoteDeviceDiscovery.INQUIRY_TERMINATED:
+			Log.write("Inquiry terminated.");
+			break;
+		}
+		synchronized(this.lock) {
+			this.lock.notify();
+		}
+		//this.isInquiring=false;
+	}
+
+	public void serviceSearchCompleted(int arg0, int arg1) {
+		// not necessary
+	}
+
+	public void servicesDiscovered(int arg0, ServiceRecord[] arg1) {
+		// not necessary
+	}
+
+	public boolean isInquirying() {
+		return this.isInquiring;
+	}
+	
+	public Vector<Wiimote> getDiscoveredWiimotes() throws IOException {
+		Vector<Wiimote> wiimotes = new Vector<Wiimote>();
+
+		for (int i = 0; i < devices.size(); i++) {
+			wiimotes.add(new Wiimote(devices.elementAt(i).getBluetoothAddress()));
+		}
+
+		return wiimotes;
+	}
+
+}

src/control/WiimoteWiigee.java

@@ -0,0 +1,188 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package control;
+
+import java.io.IOException;
+import java.util.Vector;
+
+import javax.bluetooth.DiscoveryAgent;
+import javax.bluetooth.LocalDevice;
+
+import util.Log;
+import device.Wiimote;
+import event.DeviceListener;
+import event.GestureListener;
+import filter.Filter;
+
+// Singleton
+public class WiimoteWiigee {
+	
+	protected static String version = "1.3.1 alpha";
+	protected static String releasedate = "20081215";
+	
+	protected static WiimoteWiigee instance;
+	private static Object lock = new Object();
+	private Vector<Wiimote> devices;
+	
+	private WiimoteWiigee() throws IOException {
+		Log.write("This is wiigee version "+version+" ("+releasedate+")");
+		this.devices=this.discoverWiimotes();
+		for(int i=0; i<this.devices.size(); i++) {
+			this.devices.elementAt(i).setLED(i+1);
+		}
+	}
+	
+	private WiimoteWiigee(String btaddr) throws IOException {
+		Log.write("This is wiigee version "+version+" ("+releasedate+")");
+		this.devices = new Vector<Wiimote>();
+		this.devices.add(new Wiimote(btaddr));
+		for(int i=0; i<this.devices.size(); i++) {
+			this.devices.elementAt(i).setLED(i+1);
+		}
+	}
+	
+	public static WiimoteWiigee getInstance() throws IOException {
+		if(instance==null) {
+			instance=new WiimoteWiigee();
+			return instance;
+		} else {
+			return instance;
+		}
+	}
+
+	public static WiimoteWiigee getInstance(String btaddr) throws IOException {
+		if(instance==null) {
+			instance=new WiimoteWiigee(btaddr);
+			return instance;
+		} else {
+			return instance;
+		}
+	}
+	
+	/**
+	 * Returns an array of discovered wiimotes.
+	 * 
+	 * @return Array of discovered wiimotes or null if
+	 * none discoverd.
+	 */
+	public Wiimote[] getDevices() {
+		Wiimote[] out = new Wiimote[this.devices.size()];
+		for(int i=0; i<this.devices.size(); i++) {
+			out[i] = this.devices.elementAt(i);
+		}
+		return out;
+	}
+	
+	/**
+	 * Discover the wiimotes around the bluetooth host and
+	 * make them available public via getWiimotes method.
+	 * 
+	 * @return Array of discovered wiimotes.
+	 */
+	private Vector<Wiimote> discoverWiimotes() throws IOException {
+			WiimoteDeviceDiscovery deviceDiscovery = new WiimoteDeviceDiscovery(lock);
+			LocalDevice localDevice = LocalDevice.getLocalDevice();
+			Log.write("Your Computers Bluetooth MAC: "+localDevice.getBluetoothAddress());
+			
+			DiscoveryAgent discoveryAgent = localDevice.getDiscoveryAgent();
+			
+			Log.write("Starting device inquiry...");
+			discoveryAgent.startInquiry(DiscoveryAgent.GIAC, deviceDiscovery);
+			
+			
+			try {
+				synchronized(lock){
+					lock.wait();
+				}
+		    } catch (InterruptedException e) {
+		    		Log.write("Problems during device discovery.");
+			        e.printStackTrace();
+			}
+
+		    Log.write("Device discovery completed!");			
+			return deviceDiscovery.getDiscoveredWiimotes();
+	}
+	
+	/**
+	 * Returns the number of wiimotes discovered.
+	 * 
+	 * @return Number of wiimotes discovered.
+	 */
+	public int getNumberOfDevices() {
+		return this.devices.size();
+	}
+	
+	/**
+	 * Sets the Trainbutton for all wiimotes;
+	 * 
+	 * @param b Button encoding, see static Wiimote values
+	 */
+	public void setTrainButton(int b) {
+		for(int i=0; i<this.devices.size(); i++) {
+			this.devices.elementAt(i).setTrainButton(b);
+		}
+	}
+	
+	/**
+	 * Sets the Recognitionbutton for all wiimotes;
+	 * 
+	 * @param b Button encoding, see static Wiimote values
+	 */
+	public void setRecognitionButton(int b) {
+		for(int i=0; i<this.devices.size(); i++) {
+			this.devices.elementAt(i).setRecognitionButton(b);
+		}
+	}
+	
+	/**
+	 * Sets the CloseGesturebutton for all wiimotes;
+	 * 
+	 * @param b Button encoding, see static Wiimote values
+	 */
+	public void setCloseGestureButton(int b) {
+		for(int i=0; i<this.devices.size(); i++) {
+			this.devices.elementAt(i).setCloseGestureButton(b);
+		}
+	}
+	
+	public void addDeviceListener(DeviceListener listener) {
+		if(this.devices.size()>0) {
+			this.devices.elementAt(0).addDeviceListener(listener);
+		}
+	}
+	
+	public void addGestureListener(GestureListener listener) {
+		if(this.devices.size()>0) {
+			this.devices.elementAt(0).addGestureListener(listener);
+		}
+	}
+	
+	public void addFilter(Filter filter) {
+		if(this.devices.size()>0) {
+			this.devices.elementAt(0).addFilter(filter);
+		}
+	}
+
+}

src/device/Device.java

@@ -0,0 +1,220 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package device;
+
+import java.io.IOException;
+import java.util.Vector;
+
+import logic.ProcessingUnit;
+import logic.*;
+import event.*;
+import filter.DirectionalEquivalenceFilter;
+import filter.Filter;
+import filter.IdleStateFilter;
+import filter.MotionDetectFilter;
+
+public class Device {
+	
+	// Fixed number values.
+	public static final int MOTION = 0;
+
+	// Buttons for action coordination
+	protected int recognitionbutton;
+	protected int trainbutton;
+	protected int closegesturebutton;
+	
+	// Functional
+	protected boolean accelerationenabled;
+	
+	// Filters, can filter the data stream
+	protected Vector<Filter> filters = new Vector<Filter>();
+	
+	// Listeners, receive generated events
+	protected Vector<DeviceListener> devicelistener = new Vector<DeviceListener>();
+	protected ProcessingUnit analyzer = new TriggeredProcessingUnit();
+	
+	public Device() {
+		this.addFilter(new IdleStateFilter());
+		this.addFilter(new MotionDetectFilter(this));
+		this.addFilter(new DirectionalEquivalenceFilter());
+		this.addDeviceListener(this.analyzer);
+	}
+	
+	/**
+	 * Adds a Filter for processing the acceleration values.
+	 * @param filter The Filter instance.
+	 */
+	public void addFilter(Filter filter) {
+		this.filters.add(filter);
+		System.out.println("Filter added...");
+	}
+	
+	/**
+	 * Resets all the filters, which are resetable.
+	 * Sometimes they have to be resettet if a new gesture starts.
+	 */
+	public void resetFilters() {
+		for(int i=0; i<this.filters.size(); i++) {
+			this.filters.elementAt(i).reset();
+		}
+	}
+	
+	/**
+	 * Adds an WiimoteListener to the wiimote. Everytime an action
+	 * on the wiimote is performed the WiimoteListener would receive
+	 * an event of this action.
+	 * 
+	 */
+	public void addDeviceListener(DeviceListener listener) {
+		this.devicelistener.add(listener);
+		System.out.println("WiimoteListener added...");
+	}
+	
+	/**
+	 * Adds a GestureListener to the wiimote. Everytime a gesture
+	 * is performed the GestureListener would receive an event of
+	 * this gesture.
+	 */
+	public void addGestureListener(GestureListener listener) {
+		this.analyzer.addGestureListener(listener);
+		System.out.println("GestureListener added...");
+	}
+	
+	public int getRecognitionButton() {
+		return this.recognitionbutton;
+	}
+	
+	public void setRecognitionButton(int b) {
+		this.recognitionbutton=b;
+	}
+	
+	public int getTrainButton() {
+		return this.trainbutton;
+	}
+	
+	public void setTrainButton(int b) {
+		this.trainbutton=b;
+	}
+	
+	public int getCloseGestureButton() {
+		return this.closegesturebutton;
+	}
+	
+	public void setCloseGestureButton(int b) {
+		this.closegesturebutton=b;
+	}
+
+	public ProcessingUnit getAccelerationStreamAnalyzer() {
+		return this.analyzer;
+	}
+	
+	public boolean accelerationEnabled() {
+		return this.accelerationenabled;
+	}
+	
+	public void enableAccelerationSensors() throws IOException {
+		this.accelerationenabled=true;
+	}
+	
+	public void disableAccelerationSensors() throws IOException {
+		this.accelerationenabled=false;
+	}
+	
+	// ###### Event-Methoden
+	
+	/** Fires an acceleration event.
+	 * @param x
+	 * 		Acceleration in x direction
+	 * @param y
+	 * 		Acceleration in y direction
+	 * @param z
+	 * 		Acceleration in z direction
+	 */
+	public void fireAccelerationEvent(double[] vector) {
+		for(int i=0; i<this.filters.size(); i++) {
+			vector = this.filters.get(i).filter(vector);
+			// cannot return here if null, because of time-dependent filters
+		}
+		
+		// don't need to create an event if filtered away
+		if(vector!=null) {
+				// 	calculate the absolute value for the accelerationevent
+			double absvalue = Math.sqrt((vector[0]*vector[0])+
+					(vector[1]*vector[1])+(vector[2]*vector[2]));
+		
+			AccelerationEvent w = new AccelerationEvent(this,
+					vector[0], vector[1], vector[2], absvalue);
+			for(int i=0; i<this.devicelistener.size(); i++) {
+				this.devicelistener.get(i).accelerationReceived(w);
+			}
+		}
+
+	} // fireaccelerationevent
+	
+	/** Fires a button pressed event.
+	 * @param button
+	 * 		Integer value of the pressed button.
+	 */
+	public void fireButtonPressedEvent(int button) {
+		ButtonPressedEvent w = new ButtonPressedEvent(this, button);
+		for(int i=0; i<this.devicelistener.size(); i++) {
+			this.devicelistener.get(i).buttonPressReceived(w);
+		}
+		
+		if(w.isRecognitionInitEvent() || w.isTrainInitEvent()) {
+			this.resetFilters();
+		}
+	}
+	
+	/** Fires a button released event.
+	 */
+	public void fireButtonReleasedEvent() {
+		ButtonReleasedEvent w = new ButtonReleasedEvent(this);
+		for(int i=0; i<this.devicelistener.size(); i++) {
+			this.devicelistener.get(i).buttonReleaseReceived(w);
+		}
+	}
+	
+	/**
+	 * Fires a motion start event.
+	 */
+	public void fireMotionStartEvent() {
+		MotionStartEvent w = new MotionStartEvent(this);
+		for(int i=0; i<this.devicelistener.size(); i++) {
+			this.devicelistener.get(i).motionStartReceived(w);
+		}
+	}
+	
+	/**
+	 * Fires a motion stop event.
+	 */
+	public void fireMotionStopEvent() {
+		MotionStopEvent w = new MotionStopEvent(this);
+		for(int i=0; i<this.devicelistener.size(); i++) {
+			this.devicelistener.get(i).motionStopReceived(w);
+		}
+	}	
+	
+}

src/device/JSR256Phone.java

@@ -0,0 +1,108 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package device;
+
+import java.io.IOException;
+
+import javax.microedition.io.Connector;
+import javax.microedition.sensor.Data;
+import javax.microedition.sensor.DataListener;
+import javax.microedition.sensor.SensorConnection;
+import javax.microedition.sensor.SensorInfo;
+import javax.microedition.sensor.SensorManager;
+
+/**
+ * @author Benjamin 'BePo' Poppinga
+ * This class represents the basic functions of a JSR256 enabled mobile phone.
+ * You need the JSR256 specifications to compile this code correctly. Your device
+ * should be J2ME v1.5 enabled, most mobile phones are at J2ME 1.4.2 at the moment.
+ * So, with this restrictions, this is more or less only a template you can continue
+ * developing with.
+ *
+ */
+public class JSR256Phone extends Device implements DataListener {
+
+	private SensorConnection sensor;
+	
+	public JSR256Phone() throws IOException {
+		super();
+		// TODO: define buttons, depending on device
+		this.sensor = (SensorConnection) Connector.open(this.getSensorURL());
+		this.sensor.setDataListener(this, 1);
+	}
+	
+	/**
+	 * @author Benjamin 'BePo' Poppinga
+	 * Called from DataListener, JSR 256, if an acceleration happend.
+	 */
+	public void dataReceived(SensorConnection sensor, Data[] data, boolean arg2) {
+		
+		int x=0, y=0, z=0;
+		double[] acc = new double[3];
+		
+		for(int i=0; i<data.length; i++) {
+			if(data[i].getChannelInfo().getName().compareTo("axis_x") == 0) {
+				x = data[i].getIntValues()[0];
+			} else if(data[i].getChannelInfo().getName().compareTo("axis_y") == 0) {
+				y = data[i].getIntValues()[0];
+			} else if(data[i].getChannelInfo().getName().compareTo("axis_y") == 0) {
+				z = data[i].getIntValues()[0];
+			}
+		}
+		
+		// calibration has to be done here
+		// at the moment: fixed values for Sony Ericsson K850i
+		//  -- may work for other devices, too
+		int x0 = -63;
+		int x3 = -1044;
+		int y0 = 45;
+		int y2 = -936;
+		int z0 = 45;
+		int z1 = -936;
+		
+		acc[0] = (double) (x - x0) / (double) (x3 - x0);
+		acc[1] = (double) (y - y0) / (double) (y2 - y0);
+		acc[2] = (double) (z - z0) / (double) (z1 - z0);
+		
+		this.fireAccelerationEvent(acc);		
+	}
+	
+	// TODO:
+	// Button press events should be delegated from current GUI
+	// to the fireButtonPress() methods. I don't know at the moment,
+	// if there exist different value encodings for different mobile
+	// phones.
+	
+	/*
+	 * @author Benjamin 'BePo' Poppinga
+	 * Helper to determine the accelerometer URL
+	 */
+	private String getSensorURL() {
+		SensorInfo[] si = SensorManager.findSensors("acceleration",
+				SensorInfo.CONTEXT_TYPE_USER);
+		return si[0].getUrl();		
+	}
+
+}

src/device/Wiimote.java

@@ -0,0 +1,398 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package device;
+
+import java.io.IOException;
+import java.util.Random;
+import javax.bluetooth.L2CAPConnection;
+import javax.microedition.io.Connector;
+import event.*;
+
+/**
+ * @author Benjamin 'BePo' Poppinga
+ * This class represents the basic functions of the wiimote.
+ * If you want your wiimote to e.g. vibrate you'll do this here.
+ *
+ */
+public class Wiimote extends Device {
+
+	// Fixed number values.
+	public static final int MOTION = 0;
+	public static final int BUTTON_2 = 1;
+	public static final int BUTTON_1 = 2;
+	public static final int BUTTON_B = 3;
+	public static final int BUTTON_A = 4;
+	public static final int BUTTON_MINUS = 5;
+	public static final int BUTTON_HOME = 8;
+	public static final int BUTTON_LEFT = 9;
+	public static final int BUTTON_RIGHT = 10;
+	public static final int BUTTON_DOWN = 11;
+	public static final int BUTTON_UP = 12;
+	public static final int BUTTON_PLUS = 13;
+	
+	// Reports
+	public static final byte CMD_SET_REPORT = 0x52;
+	
+	// IR Modes
+	public static final byte IR_MODE_STANDARD = 1;
+	public static final byte IR_MODE_EXTENDED = 0x03;
+	
+	// Modes / Channels
+	public static final byte MODE_BUTTONS = 0x30;
+	public static final byte MODE_BUTTONS_ACCELERATION = 0x31;
+	public static final byte MODE_BUTTONS_ACCELERATION_INFRARED = 0x33;
+	
+	
+	// Bluetooth-adress as string representation
+	private String btaddress;
+	
+	// LED encoded as byte
+	byte ledencoding;
+	
+	
+	// control connection, send commands to wiimote
+	private L2CAPConnection controlCon;
+	
+	// receive connection, receive answers from wiimote
+	private L2CAPConnection receiveCon;
+	
+	
+	// Functional
+	private boolean vibrating;
+	private boolean calibrated;
+	private boolean infraredenabled;
+	private WiimoteStreamer wms;
+	
+	
+	/**
+	 * Creates a new wiimote-device with a specific bluetooth mac-adress.
+	 * 
+	 * @param btaddress
+	 * 			String representation of the mac-adress e.g. 00191D68B57C
+	 */
+	public Wiimote(String btaddress) throws IOException {
+		btaddress = this.removeChar(btaddress, ':');
+		this.btaddress=btaddress;
+		this.vibrating=false;
+		this.connect();
+		this.calibrateAccelerometer();
+		this.streamData(true);
+		this.enableAccelerationSensors();
+		//this.enableInfraredCamera();
+	}
+	
+	/** 
+	 * Creates the two needed connections to send and receive commands
+	 * to and from the wiimote-device.
+	 * 
+	 */
+	public void connect() throws IOException {
+		this.controlCon = (L2CAPConnection)Connector.open("btl2cap://"+
+			this.btaddress+":11;authenticate=false;encrypt=false;master=false",
+			Connector.WRITE); // 11
+		this.receiveCon = (L2CAPConnection)Connector.open("btl2cap://"+
+			this.btaddress+":13;authenticate=false;encrypt=false;master=false",
+			Connector.READ); // 13
+	}
+	
+	/**
+	 * Disconnects the wiimote and closes the two connections.
+	 */
+	public void disconnect() {
+		this.vibrating=false;
+		try {
+			this.controlCon.close();
+			this.receiveCon.close();
+			System.out.println("Disconnected wiimote.");
+		} catch(Exception e) {
+			System.out.println("Failure during disconnect of wiimote.");
+		}
+	}
+	
+	/**
+	 * @return
+	 * 		Receiving data connection 
+	 */
+	public L2CAPConnection getReceiveConnection() {
+		return this.receiveCon;
+	}
+
+	/** 
+	 * This method makes the Wiimote-Class reacting to incoming data.
+	 * For just controlling and sending commands to the wiimote
+	 * (vibration, LEDs, ...) it's not necessary to call this method.
+	 * 
+	 * @param value
+	 * 		true, if the class should react to incoming data.
+	 * 		false, if you only want to send commands to wiimote and
+	 * 		only the control-connection is used.
+	 */
+	public void streamData(boolean value) {
+		if(value==true) {
+			if(this.wms==null) {
+				this.wms = new WiimoteStreamer(this);
+			}
+			wms.start(); }
+		else if(this.wms!=null) {
+				wms.stopThread();
+		}
+	}
+	
+	/**
+	 * Write data to a register inside of the wiimote.
+	 * 
+	 * @param offset The memory offset, 3 bytes.
+	 * @param data The data to be written, max. 16 bytes.
+	 * @throws IOException
+	 */
+	public void writeRegister(byte[] offset, byte[] data) throws IOException {
+		byte[] raw = new byte[23];
+		raw[0] = CMD_SET_REPORT;
+		raw[1] = 0x16; // Write channel
+		raw[2] = 0x04; // Register
+		for(int i=0; i<offset.length; i++) {
+			raw[3+i] = offset[i];
+		}
+		raw[6] = (byte)data.length;
+		for(int i=0; i<data.length; i++) {
+			raw[7+i] = data[i];
+		}
+		this.sendRaw(raw);
+	}
+
+	/**
+	 * Makes the Wiimote respond the data of an register. The wiimotestreamer
+	 * doesn't react to the reponse yet.
+	 * 
+	 * @param offset The memory offset.
+	 * @param size The size which has to be read out.
+	 * @throws IOException
+	 */
+	public void readRegister(byte[] offset, byte[] size) throws IOException {
+		byte[] raw = new byte[8];
+		raw[0] = CMD_SET_REPORT;
+		raw[1] = 0x17; // Read channel
+		raw[2] = 0x04; // Register
+		for(int i=0; i<offset.length; i++) {
+			raw[3+i] = offset[i];
+		}
+		for(int i=0; i<size.length; i++) {
+			raw[6+i] = size[i];
+		}
+		this.sendRaw(raw);
+	}
+	
+	/**
+	 * Reads data out of the EEPROM of the wiimote.
+	 * At the moment this method is only used to read out the
+	 * calibration data, so the wiimotestreamer doesn't react for
+	 * every answer on this request.
+	 * 
+	 * @param offset The memory offset.
+	 * @param size The size.
+	 * @throws IOException
+	 */
+	public void readEEPROM(byte[] offset, byte[] size) throws IOException {
+		byte[] raw = new byte[8];
+		raw[0] = CMD_SET_REPORT;
+		raw[1] = 0x17; // Read channel
+		raw[2] = 0x00; // EEPROM
+		for(int i=0; i<offset.length; i++) {
+			raw[3+i] = offset[i];
+		}
+		for(int i=0; i<size.length; i++) {
+			raw[6+i] = size[i];
+		}
+		this.sendRaw(raw);
+	}
+	
+	/**
+	 * Sends pure hexdata to the wiimote. If you want your wiimote
+	 * to vibrate use sendRaw(new byte[] {0x52, 0x13, 0x01}). For other raw-commands use
+	 * the specific wiki-sites around the web (wiili.org, wiibrew.org, ...)
+	 * @param raw
+	 * 		byte representation of an command
+	 */
+	public void sendRaw(byte[] raw) throws IOException {
+		if(this.controlCon!=null) {
+			this.controlCon.send(raw);
+			try {
+				Thread.sleep(20l);
+			} catch (InterruptedException e) {
+				System.out.println("sendRaw() interrupted");
+			}
+		}
+	}
+	
+	
+	/**
+	 * Enables one or more LEDs, where the value could be between 0 and 8.
+	 * If value=1 only the left LED would light up, for value=2 the second
+	 * led would light up, for value=3 the first and second led would light up,
+	 * and so on...
+	 * 
+	 * @param value Between 0 and 8, indicating which LEDs should light up
+	 * @throws IOException
+	 */
+	public void setLED(int value) throws IOException {
+		if(value<16 && value>0) {
+			byte tmp = (byte)value;
+			this.ledencoding=(byte)(tmp<<4);
+			this.sendRaw(new byte[] {CMD_SET_REPORT, 0x11, this.ledencoding});
+		} else {
+			// Random LED change :)
+			this.setLED(new Random().nextInt(16));
+		}
+	}
+	
+	/**
+	 * Initializes the calibration of the accerlarometer. This is done once
+	 * per each controller in program lifetime.
+	 * 
+	 * @throws IOException
+	 */
+	private void calibrateAccelerometer() throws IOException {
+		// calibration command
+		this.readEEPROM(new byte[] {0x00, 0x00, 0x20}, new byte[] {0x00, 0x07});
+		this.calibrated=true;
+	}
+	
+	/**
+	 * Activates the acceleration sensor. You have to call the
+	 * streamData(true) method to react to this acceleration data.
+	 * Otherwise the wiimote would send data the whole time and
+	 * nothing else would happen.
+	 * 
+	 */
+	public void enableAccelerationSensors() throws IOException {
+		super.enableAccelerationSensors();
+		if(!this.calibrated) {
+			this.calibrateAccelerometer();
+		}
+		
+		 // enable acceleration in continuous mode
+		this.sendRaw(new byte[] {CMD_SET_REPORT, 0x12, 0x04, 0x31});
+	}
+	
+	/**
+	 * Deactivates the acceleration sensors.
+	 * 
+	 */
+	public void disableAccelerationSensors() throws IOException {
+		super.disableAccelerationSensors();
+		this.sendRaw(new byte[] {CMD_SET_REPORT, 0x12, 0x00, 0x30});
+	}
+	
+	/**
+	 * Enables the infrared camera in front of the wiimote to track
+	 * IR sources in the field of view of the camera. This could be used
+	 * to a lot of amazing stuff. Using this Mode could slow down the
+	 * recognition of acceleration gestures during the increased data
+	 * size transmitted.
+	 */
+	public void enableInfraredCamera() throws IOException {
+		this.accelerationenabled=true;
+		this.infraredenabled=true;
+		if(!this.calibrated) {
+			this.calibrateAccelerometer();
+		}
+		
+		//write 0x04 to output 0x13
+		this.sendRaw(new byte[] {CMD_SET_REPORT, 0x13, 0x04});
+		
+		// write 0x04 to output 0x1a
+		this.sendRaw(new byte[] {CMD_SET_REPORT, 0x1a, 0x04});
+		
+		// write 0x08 to reguster 0xb00030
+		this.writeRegister(new byte[] {(byte)0xb0, 0x00, 0x30}, new byte[] {0x08});
+		
+		// write sensivity block 1 to register 0xb00000
+		this.writeRegister(new byte[] {(byte)0xb0, 0x00, 0x00}, new byte[] {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, (byte)0x90, 0x00, (byte)0xc0});
+		
+		// write sensivity block 2 to register 0xb0001a
+		this.writeRegister(new byte[] {(byte)0xb0, 0x00, (byte)0x1a}, new byte[] {0x40, 0x00});
+		
+		// write ir-mode to register 0xb00033
+		this.writeRegister(new byte[] {(byte)0xb0, 0x00, 0x33}, new byte[] {0x03});		
+		
+		// enable continuous acceleration and IR cam on channel 33
+		this.sendRaw(new byte[] {CMD_SET_REPORT, 0x12, 0x00, 0x33});
+	
+	}
+	
+	
+	/**
+	 * With this method you gain access over the vibrate function of
+	 * the wiimote. You got to try which time in milliseconds would
+	 * fit your requirements.
+	 * 
+	 * @param milliseconds
+	 * 		time the wiimote would vibrate
+	 */
+	public void vibrateForTime(long milliseconds) throws IOException {
+		try {
+		 if(!vibrating) {
+			this.vibrating=true;
+			byte tmp = (byte)(this.ledencoding | 0x01);
+			this.sendRaw(new byte[] {CMD_SET_REPORT, 0x11, tmp});
+			Thread.sleep(milliseconds);
+			this.sendRaw(new byte[] {CMD_SET_REPORT, 0x11, this.ledencoding});
+			this.vibrating=false;
+		 }
+		} catch (InterruptedException e) {
+			System.out.println("WiiMoteThread interrupted.");
+		}
+	}
+	
+	public boolean infraredEnabled() {
+		return this.infraredenabled;
+	}
+	
+	// ###### Hilfsmethoden
+	// TODO	
+	private String removeChar(String s, char c) {
+	    String r = "";
+	    for (int i = 0; i < s.length(); i ++) {
+	       if (s.charAt(i) != c) r += s.charAt(i);
+	       }
+	    return r;
+	}
+	
+	/**
+	 * Fires a infrared event
+	 * 
+	 * @param coordinates
+	 * @param size
+	 */
+	public void fireInfraredEvent(int[][] coordinates, int[] size) {
+		InfraredEvent w = new InfraredEvent(this, coordinates, size);
+		for(int i=0; i<this.devicelistener.size(); i++) {
+			this.devicelistener.get(i).infraredReceived(w);
+		}
+	}
+
+
+	
+}

src/device/WiimoteStreamer.java

@@ -0,0 +1,296 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package device;
+
+import java.io.IOException;
+import java.util.EventObject;
+
+import javax.bluetooth.L2CAPConnection;
+
+import event.ButtonPressedEvent;
+import event.ButtonReleasedEvent;
+
+/**
+ * This class listens to data sended by the wiimote and generates specific
+ * events for acceleration, buttonpress, ...
+ * 
+ * @author Benjamin 'BePo' Poppinga
+ * 
+ */
+public class WiimoteStreamer extends Thread {
+
+	boolean running;
+	double x0, x1, y0, y1, z0, z1;
+
+	Wiimote wiimote;
+
+	private L2CAPConnection receiveCon;
+
+	EventObject lastevent;
+
+	protected WiimoteStreamer(Wiimote wiimote) {
+		this.wiimote = wiimote;
+		this.receiveCon = wiimote.getReceiveConnection();
+	}
+
+	public void run() {
+		this.running = true;
+		int xraw, yraw, zraw;
+		double x, y, z;
+
+		try {
+			while (running) {
+				// connection has data and we're ready.
+				
+				byte[] b = this.getRaw(); // blocks application
+				String[] input = this.byte2hex(b);
+
+				// debug output
+				/*
+				 * for(int i=0; i<input.length; i++) {
+				 * System.out.print(input[i]); if(i==input.length-1) {
+				 * System.out.println(""); } else { System.out.print(":"); } }
+				 *  /* for(int i=0; i<b.length; i++) {
+				 * System.out.print((int)b[i]&0xFF); if(i==input.length-1) {
+				 * System.out.println(""); } else { System.out.print(":"); } }
+				 */
+
+				// wiimote wants to tell the calibration data
+				if ((b[1] & 0xFF) == 33) {
+					// if(((b[1] & 0xFF) & 0x21 ) == 0x21) {
+					this.x0 = b[7] & 0xFF;
+					this.y0 = b[8] & 0xFF;
+					this.z0 = b[9] & 0xFF;
+					this.x1 = b[11] & 0xFF;
+					this.y1 = b[12] & 0xFF;
+					this.z1 = b[13] & 0xFF;
+					System.out.println("Autocalibration successful!");
+					continue;
+				}
+
+				// infrared is enabled, so have a look at the last bytes
+				if (this.wiimote.infraredEnabled()
+						&& (((b[1] & 0xFF) & 0x31) == 0x31 || ((b[1] & 0xFF) & 0x33) == 0x33)) {
+					int[][] coordinates = new int[4][2];
+					int[] size = new int[4];
+					int j = 0;
+
+					for (int i = 7; i < 18; i += 3) { // for each IR byte
+														// triple
+						int tailX = b[i] & 0xFF;
+						int tailY = b[i + 1] & 0xFF;
+						int preY = (b[i + 2] & 0xC0) << 2;
+						int preX = (b[i + 2] & 0x30) << 4;
+
+						coordinates[j][0] = tailX + preX;
+						coordinates[j][1] = tailY + preY;
+						size[j++] = (b[i + 2] & 0x0F);
+					}
+
+					this.wiimote.fireInfraredEvent(coordinates, size);
+				}
+
+				// if the wiimote is sending acceleration data...
+				if (this.wiimote.accelerationEnabled()
+						&& (((b[1] & 0xFF) & 0x31) == 0x31 || ((b[1] & 0xFF) & 0x33) == 0x33)) {
+
+					/*
+					 * calculation of acceleration vectors starts here. further
+					 * information about normation exist in the public papers or
+					 * the various www-sources.
+					 * 
+					 */
+					xraw = (b[4] & 0xFF);
+					yraw = (b[5] & 0xFF);
+					zraw = (b[6] & 0xFF);
+
+					x = (double) (xraw - x0) / (double) (x1 - x0);
+					y = (double) (yraw - y0) / (double) (y1 - y0);
+					z = (double) (zraw - z0) / (double) (z1 - z0);
+
+					// try to fire event, there could be filters added to the
+					// wiimote class which may prevents from firing.
+					this.wiimote.fireAccelerationEvent(new double[] {x, y, z});
+
+				}
+
+				// Button 1 matches button "2" on wiimote
+				if (((b[3] & 0xFF) & 0x01) == 0x01
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(1);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 1);
+					continue;
+				}
+
+				// Button 2 matches button "1" on wiimote
+				else if (((b[3] & 0xFF) & 0x02) == 0x02
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(2);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 2);
+					continue;
+				}
+
+				// Button 3 matches button "B" on wiimote
+				else if (((b[3] & 0xFF) & 0x04) == 0x04
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(3);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 3);
+					continue;
+				}
+
+				// Button 4 matches button "A" on wiimote
+				else if (((b[3] & 0xFF) & 0x08) == 0x08
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(4);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 4);
+					continue;
+				}
+
+				// Button 5 matches button "MINUS" on wiimote
+				else if (((b[3] & 0xFF) & 0x10) == 0x10
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(5);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 5);
+					continue;
+				}
+
+				// Button 6 unknown
+				// Button 7 unknown
+
+				// Button 8 matches button "HOME" on wiimote
+				else if (((b[3] & 0xFF) & 0x80) == 0x80
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(8);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 8);
+					continue;
+				}
+
+				// Button 9 matches "CROSS LEFT" on wiimote
+				else if (((b[2] & 0xFF) & 0x01) == 0x01
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(9);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 9);
+					continue;
+				}
+
+				// Button 10 matches "CROSS RIGHT" on wiimote
+				else if (((b[2] & 0xFF) & 0x02) == 0x02
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(10);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 10);
+					continue;
+				}
+
+				// Button 11 matches "CROSS DOWN" on wiimote
+				else if (((b[2] & 0xFF) & 0x04) == 0x04
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(11);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 11);
+					continue;
+				}
+
+				// Button 12 matches "CROSS UP" on wiimote
+				else if (((b[2] & 0xFF) & 0x08) == 0x08
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(12);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 12);
+					continue;
+				}
+
+				// Button 13 matches button "PLUS" on wiimote
+				else if (((b[2] & 0xFF) & 0x10) == 0x10
+						&& !(this.lastevent instanceof ButtonPressedEvent)) {
+					this.wiimote.fireButtonPressedEvent(13);
+					this.lastevent = new ButtonPressedEvent(
+							this.wiimote, 13);
+					continue;
+				}
+
+				// Button 14 unknown
+				// Button 15 unknown
+				// Button 16 unknown
+
+				// Button released
+				else if ((input[2].equals("20") || input[2].equals("40") || input[2]
+						.equals("60"))
+						&& (input[3].equals("00") || input[3].equals("20")
+								|| input[3].equals("40") || input[3]
+								.equals("60"))
+						&& !(this.lastevent instanceof ButtonReleasedEvent)) {
+					this.wiimote.fireButtonReleasedEvent();
+					this.lastevent = new ButtonReleasedEvent(
+							this.wiimote);
+					continue;
+				}
+
+			} // while(running)
+
+		} catch (IOException e) {
+			System.out.println("Streamer: Connection to Wiimote lost.");
+			this.running = false;
+		}
+	}
+
+	private byte[] getRaw() throws IOException {
+		byte[] b = new byte[19];
+		this.receiveCon.receive(b);
+		return b;
+	}
+
+	/**
+	 * stops this thread.
+	 */
+	protected void stopThread() {
+		this.running = false;
+	}
+
+	protected boolean isRunning() {
+		return this.running;
+	}
+
+	private String[] byte2hex(byte[] b) {
+		String[] out = new String[b.length];
+		String stmp = "";
+		for (int n = 0; n < b.length; n++) {
+			stmp = (java.lang.Integer.toHexString(b[n] & 0XFF));
+			if (stmp.length() == 1)
+				out[n] = ("0" + stmp).toUpperCase();
+			else
+				out[n] = stmp.toUpperCase();
+		}
+		return out;
+	}
+
+}

src/event/AccelerationEvent.java

@@ -0,0 +1,85 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import java.util.EventObject;
+
+import device.*;
+
+/**
+ * This Event would be generated if an acceleration has been detected.
+ * It contains information about the force applied to the device in each
+ * direction (x, y, z). Further it contains the absolute value of this
+ * vector and the source which generated this event (wiimote).
+ *
+ * @author Benjamin 'BePo' Poppinga
+ * 
+ */
+public class AccelerationEvent extends EventObject {
+	
+	double X, Y, Z;
+	double absvalue;
+	Device source;
+	
+	/**
+	 * Create a WiimoteAccelerationEvent with a specific source,
+	 * all the three acceleration values and the calculated absolute
+	 * value.
+	 * 
+	 * @param source The source which has been accelerated (Wiimote).
+	 * @param X The value of acceleration in the x direction.
+	 * @param Y The value of acceleration in the y direction.
+	 * @param Z The value of acceleration in the z direction.
+	 * @param absvalue The absolute value of this acceleration vector.
+	 */
+	public AccelerationEvent(Device source, double X, double Y, double Z, double absvalue) {
+		super(source);
+		this.source=source;
+		this.X=X;
+		this.Y=Y;
+		this.Z=Z;
+		this.absvalue=absvalue;
+	}
+	
+	public Device getSource() {
+		return source;
+	}
+
+	public double getX() {
+		return X;
+	}
+
+	public double getY() {
+		return Y;
+	}
+
+	public double getZ() {
+		return Z;
+	}
+	
+	public double getAbsValue() {
+		return absvalue;
+	}
+}

src/event/ActionStartEvent.java

@@ -0,0 +1,83 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import java.util.EventObject;
+
+import device.Device;
+
+public class ActionStartEvent extends EventObject {
+
+	protected Device source;
+	protected boolean trainbutton;
+	protected boolean recognitionbutton;
+	protected boolean closegesturebutton;
+	
+	public ActionStartEvent(Device source) {
+		super(source);
+		this.source=source;
+	}
+	
+	public Device getSource() {
+		return this.source;
+	}
+	
+	/**
+	 * Is true if this button press has been done by the
+	 * individual defined RecognitionButton which has to be
+	 * set during initialization of a Wiimote.
+	 * 
+	 * @return Is this button press initiated by the recognition button.
+	 * @see device.Wiimote#setRecognitionButton(int) setRecognitionButton()
+	 */
+	public boolean isRecognitionInitEvent() {
+		return this.recognitionbutton;
+	}
+	
+	/**
+	 * Is true if this button press has been done by the
+	 * individual defined TrainButton which has to be
+	 * set during initialization of a Wiimote.
+	 * 
+	 * @return Is this button pres initiated by the training button.
+	 * @see device.Wiimote#setTrainButton(int) setTrainButton()
+	 */
+	public boolean isTrainInitEvent() {
+		return this.trainbutton;
+	}
+	
+	/**
+	 * Is true if this button press has been done by the
+	 * individual defined CloseGestureButton which has to be
+	 * set during initialization of a Wiimote.
+	 * 
+	 * @return Is this button press initiated by the close gesture button.
+	 * @see device.Wiimote#setCloseGestureButton(int) setCloseGestureButton()
+	 */
+	public boolean isCloseGestureInitEvent() {
+		return this.closegesturebutton;
+	}
+
+}

src/event/ActionStopEvent.java

@@ -0,0 +1,43 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import java.util.EventObject;
+import device.Device;
+
+public class ActionStopEvent extends EventObject {
+	
+	protected Device source;
+	
+	public ActionStopEvent(Device source) {
+		super(source);
+		this.source=source;
+	}
+	
+	public Device getSource() {
+		return this.source;
+	}
+
+}

src/event/ButtonPressedEvent.java

@@ -0,0 +1,97 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import device.*;
+
+/**
+ * 
+ * This Event would be generated if a button on a wiimote has been
+ * pressed by user. It contains the source (wiimote) and an integer
+ * representation of which button has been pressed. Please note that
+ * there exist enumeration constants in the class, so you don't
+ * have to use this integer values directly.
+ * 
+ * Button 1 matches button "2" on wiimote
+ * Button 2 matches button "1" on wiimote
+ * Button 3 matches button "B" on wiimote
+ * Button 4 matches button "A" on wiimote
+ * Button 5 matches button "MINUS" on wiimote
+ * Button 6 unknown
+ * Button 7 unknown
+ * Button 8 matches button "HOME" on wiimote
+ * Button 9 matches "CROSS LEFT" on wiimote
+ * Button 10 matches "CROSS RIGHT" on wiimote
+ * Button 11 matches "CROSS DOWN" on wiimote
+ * Button 12 matches "CROSS UP" on wiimote
+ * Button 13 matches button "PLUS" on wiimote
+ * Button 14 unknown
+ * Button 15 unknown
+ * Button 16 unknown
+ *
+ * @author Benjamin 'BePo' Poppinga
+ */
+public class ButtonPressedEvent extends ActionStartEvent {
+	
+	// Fixed number values.
+	public static final int BUTTON_2 = 1;
+	public static final int BUTTON_1 = 2;
+	public static final int BUTTON_B = 3;
+	public static final int BUTTON_A = 4;
+	public static final int BUTTON_MINUS = 5;
+	public static final int BUTTON_HOME = 8;
+	public static final int BUTTON_LEFT = 9;
+	public static final int BUTTON_RIGHT = 10;
+	public static final int BUTTON_DOWN = 11;
+	public static final int BUTTON_UP = 12;
+	public static final int BUTTON_PLUS = 13;
+	
+	int button;
+
+	/**
+	 * Create a WiimoteButtonPressedEvent with the Wiimote source whose
+	 * Button has been pressed and the integer representation of the button.
+	 * 
+	 * @param source
+	 * @param button
+	 */
+	public ButtonPressedEvent(Device source, int button) {
+		super(source);
+		this.button=button;
+		
+		if(source.getRecognitionButton()==button) {
+			this.recognitionbutton=true;
+		} else if(source.getTrainButton()==button) {
+			this.trainbutton=true;
+		} else if(source.getCloseGestureButton()==button) {
+			this.closegesturebutton=true;
+		}
+	}
+	
+	public int getButton() {
+		return this.button;
+	}
+	
+}

src/event/ButtonReleasedEvent.java

@@ -0,0 +1,45 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import java.util.EventObject;
+
+import device.*;
+
+/**
+ * 
+ * This event would be generated if a button was released.
+ * contains: source (wiimote).
+ *
+ * @author Benjamin 'BePo' Poppinga
+ */
+public class ButtonReleasedEvent extends ActionStopEvent {
+
+	public ButtonReleasedEvent(Device source) {
+		super(source);
+	}
+	
+	
+}

src/event/DeviceListener.java

@@ -0,0 +1,83 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import java.util.EventListener;
+
+/**
+ * This interface has to be implemented if the application should react
+ * to pure acceleration data or button press/release. This could be
+ * useful if you want to graphically display the acceleration data or
+ * something else in your application.
+ *
+ * @author Benjamin 'BePo' Poppinga
+ */
+public interface DeviceListener extends EventListener {
+	
+	/**
+	 * This method would be called if a Wiimote source has been accelerated.
+	 * 
+	 * @param event The acceleration representation as an event.
+	 */
+	public abstract void accelerationReceived(AccelerationEvent event);
+	
+	/**
+	 * This method would be called if a Wiimote button has been pressed.
+	 * 
+	 * @param event The button representation as an event.
+	 */
+	public abstract void buttonPressReceived(ButtonPressedEvent event);
+	
+	/**
+	 * This method would be called if a Wiimote button has been released.
+	 * 
+	 * @param event This is actually a meta-event NOT containing which button
+	 * has been released.
+	 */
+	public abstract void buttonReleaseReceived(ButtonReleasedEvent event);
+	
+	/**
+	 * This method would be called if a Wiimote is in idle state and then a
+	 * motion starts or if a Wiimote is in motion and then the motion stops and
+	 * the Wiimote is in idle state.
+	 * 
+	 * @param event This is the event which contains if the Wiimote is now
+	 * in motion or not.
+	 */
+	public abstract void motionStartReceived(MotionStartEvent event);
+	
+	/**
+	 * This method would be called if a Wiimote is in motion and then the motion
+	 * stops and the Wiimote is in idle state.
+	 * 
+	 * @param event This is the event which contains if the Wiimote is now
+	 * in motion or not.
+	 */
+	public abstract void motionStopReceived(MotionStopEvent event);
+	
+	public abstract void infraredReceived(InfraredEvent event);
+	
+
+}

src/event/GestureEvent.java

@@ -0,0 +1,66 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import logic.ProcessingUnit;
+
+/**
+ * This event would be generated if a gesture has been detected.
+ * It contains information about the gesture "name" or type,
+ * the accelerationstreamanalyzer which generated the event (source)
+ * and the probability calculated from the bayes classifier.
+ *
+ * @author Benjamin 'BePo' Poppinga
+ */
+public class GestureEvent {
+
+	int id;
+	double probability;
+	ProcessingUnit analyzer;
+	
+	/** Create a GestureEvent
+	 * 
+	 * @param source The Source, which detected the gesture.
+	 * @param id A gesture ID for identifying a gesture. 
+	 * @param probability The Bayes-Classifier calculated probability.
+	 */
+	public GestureEvent(ProcessingUnit source, int id, double probability) {
+		this.analyzer=source;
+		this.id=id;
+		this.probability=probability;
+	}
+	
+	public int getId() {
+		return this.id;
+	}
+	
+	public double getProbability() {
+		return this.probability;
+	}
+	
+	public ProcessingUnit getSource() {
+		return this.analyzer;
+	}
+}

src/event/GestureListener.java

@@ -0,0 +1,57 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import java.util.EventListener;
+
+/**
+ * 
+ * This is the GestureListener interface which has to be implemented
+ * by any application which should receive recognized gestures.
+ * 
+ * @author Benjamin 'BePo' Poppinga
+ * 
+ */
+public interface GestureListener extends EventListener {
+
+	/**
+	 * This method would be called if a gesture has been recognized.
+	 * 
+	 * @param event The GestureEvent containing information about
+	 * the recognized gesture.
+	 */
+	public abstract void gestureReceived(GestureEvent event);
+	
+	/**
+	 * This method would be called if the gesture-recognizing system
+	 * switched the state from recognition to training or otherwise.
+	 * 
+	 * @param event The StateEvent containing information about the
+	 * state-change.
+	 */
+	public abstract void stateReceived(StateEvent event);
+	
+	
+}

src/event/InfraredEvent.java

@@ -0,0 +1,63 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import java.util.EventObject;
+import device.Wiimote;
+
+public class InfraredEvent extends EventObject {
+
+	protected Wiimote wiimote;
+	protected int[][] coordinates;
+	protected int[] size;
+	protected boolean[] valid;
+	
+	public InfraredEvent(Wiimote source, int[][] coordinates, int[] size) {
+		super(source);
+		this.coordinates=coordinates;
+		this.size=size;
+		this.valid = new boolean[4];
+		for(int i=0; i<this.coordinates.length; i++) {
+			this.valid[i] = (this.coordinates[i][0]<1023 && this.coordinates[i][1]<1023);
+		}
+	}
+	
+	public Wiimote getSource() {
+		return this.wiimote;
+	}
+	
+	public boolean isValid(int i) {
+		return this.valid[i];
+	}
+	
+	public int[][] getCoordinates() {
+		return this.coordinates;
+	}
+	
+	public int[] getSize() {
+		return this.size;
+	}
+
+}

src/event/MotionStartEvent.java

@@ -0,0 +1,58 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import device.Device;
+
+public class MotionStartEvent extends ActionStartEvent {
+	
+	public MotionStartEvent(Device source) {
+		super(source);
+		
+		if(source.getRecognitionButton()==Device.MOTION) {
+			this.recognitionbutton=true;
+		} else if(source.getTrainButton()==Device.MOTION) {
+			this.trainbutton=true;
+		} else if(source.getCloseGestureButton()==Device.MOTION) {
+			this.closegesturebutton=true;
+		}
+	}
+	
+	@Override
+	public boolean isTrainInitEvent() {
+		return this.trainbutton;
+	}
+	
+	@Override
+	public boolean isCloseGestureInitEvent() {
+		return this.closegesturebutton;
+	}
+	
+	@Override
+	public boolean isRecognitionInitEvent() {
+		return this.recognitionbutton;
+	}
+
+}

src/event/MotionStopEvent.java

@@ -0,0 +1,43 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import device.Device;
+
+/**
+* 
+* This event would be generated if a motion stops.
+* contains: source (wiimote).
+*
+* @author Benjamin 'BePo' Poppinga
+*/
+public class MotionStopEvent extends ActionStopEvent {
+
+	public MotionStopEvent(Device source) {
+		super(source);
+		// TODO Auto-generated constructor stub
+	}
+	
+}

src/event/StateEvent.java

@@ -0,0 +1,67 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package event;
+
+import java.util.EventObject;
+import logic.ProcessingUnit;
+
+/**
+ * 
+ * This is a StateEvent, telling the listeners in which state of recognition
+ * the tool is:
+ * 	1 = training,
+ *  2 = recognition
+ *  
+ * @author Benjamin 'BePo' Poppinga
+ */
+public class StateEvent extends EventObject {
+
+	public final int STATE_LEARNING=1;
+	public final int STATE_RECOGNIZING=2;
+	
+	int state;
+	ProcessingUnit analyzer;
+	
+	/**
+	 * Create a StateEvent.
+	 * 
+	 * @param source The source of which the state has changed.
+	 * @param state The state the source has switched to.
+	 */
+	public StateEvent(ProcessingUnit source, int state) {
+		super(source);
+		this.analyzer=source;
+		this.state=state;
+	}
+	
+	public int getState() {
+		return this.state;
+	}
+	
+	public ProcessingUnit getSource() {
+		return this.analyzer;
+	}
+	
+}

src/filter/DirectionalEquivalenceFilter.java

@@ -0,0 +1,64 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package filter;
+
+public class DirectionalEquivalenceFilter extends Filter {
+	
+	private double sensivity;
+	private double[] reference;
+
+	public DirectionalEquivalenceFilter() {
+		super();
+		this.reset();
+	}
+	
+	public void reset() {
+		this.sensivity=0.2;
+		this.reference = new double[] {0.0, 0.0, 0.0};
+	}
+	
+	public double[] filterAlgorithm(double[] vector) {
+		if(vector[0]<reference[0]-this.sensivity ||
+		   vector[0]>reference[0]+this.sensivity ||
+		   vector[1]<reference[1]-this.sensivity ||
+		   vector[1]>reference[1]+this.sensivity ||
+		   vector[2]<reference[2]-this.sensivity ||
+		   vector[2]>reference[2]+this.sensivity) {
+			this.reference=vector;
+			return vector;
+		} else {
+			return null;
+		}
+	}
+	
+	public void setSensivity(double sensivity) {
+		this.sensivity=sensivity;
+	}
+	
+	public double getSensivity() {
+		return this.sensivity;
+	}
+
+}

src/filter/Filter.java

@@ -0,0 +1,63 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package filter;
+
+public abstract class Filter {
+
+	public Filter() {
+		// nothing, but should be called via SUPER.
+	}
+	
+	public void reset() {
+		// reset filter, if necessary.
+	}
+	
+	/***
+	 * The actual called method to filter anything. It checks if the vector is
+	 * already set to NULL by another filter and won't process it anymore. If it's
+	 * not NULL it would be forwarded to the actual implemented method - filterAlgorithm(). 
+	 * @param vector The acceleration vector, encoding: 0/x, 1/y, 2/z
+	 * @return a new, filtered acceleration vector, encoded the same way
+	 */
+	public double[] filter(double[] vector) {
+		if(vector==null) {
+			return null;
+		} else {
+			return filterAlgorithm(vector);
+		}
+	}
+	
+	/***
+	 * A filter receives a triple of acceleration values within the variable 'vector'.
+	 * It's encoded as vector[0]=x, vector[1]=y, vector[2]=z. This is not an object since the
+	 * processing of the filter should be really fast, since every acceleration of the wiimote
+	 * passes the filter.
+	 * @param vector
+	 * @param absvalue
+	 * @return
+	 */
+	abstract public double[] filterAlgorithm(double[] vector);
+	
+}

src/filter/IdleStateFilter.java

@@ -0,0 +1,74 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package filter;
+
+public class IdleStateFilter extends Filter {
+	
+	private double sensivity;
+	
+	/**
+	 * Since an acceleration sensor usually provides information even
+	 * if it doesn't move, this filter removes the data if it's in the
+	 * idle state.
+	 */
+	public IdleStateFilter() {
+		super();
+		this.sensivity = 0.1;
+	}
+
+	public double[] filterAlgorithm(double[] vector) {
+		// calculate values needed for filtering:
+		// absolute value
+		double absvalue = Math.sqrt((vector[0]*vector[0])+
+				(vector[1]*vector[1])+(vector[2]*vector[2]));
+		
+		// filter formulaes and return values
+		if(absvalue > 1+this.sensivity ||
+		   absvalue < 1-this.sensivity) {
+			return vector;
+		} else {
+			return null;	
+		}
+	}
+	
+	/**
+	 * Defines the absolute value when the wiimote should react to acceleration.
+	 * This is a parameter for the first of the two filters: idle state
+	 * filter. For example: sensivity=0.2 makes the wiimote react to acceleration
+	 * where the absolute value is equal or greater than 1.2g. The default value 0.1
+	 * should work well. Only change if you are sure what you're doing.
+	 * 
+	 * @param sensivity
+	 * 		acceleration data values smaller than this value wouldn't be detected.
+	 */ 
+	public void setSensivity(double sensivity) {
+		this.sensivity = sensivity;
+	}
+	
+	public double getSensivity() {
+		return this.sensivity;
+	}
+
+}

src/filter/MotionDetectFilter.java

@@ -0,0 +1,96 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package filter;
+
+import device.Device;
+
+public class MotionDetectFilter extends Filter {
+
+	private int motionchangetime;
+	private boolean nowinmotion;
+	private long motionstartstamp;
+	private Device device;
+	
+	/***
+	 * Detects wheather the wiimote receives acceleration or not and
+	 * raises an event, if the device starts or stops. This is actual a
+	 * null filter, not manipulating anything. But looks pretty good in
+	 * this datatype since it could be removed easily.
+	 * 
+	 * @param wiimote The Wiimote object which is controlled by the filter.
+	 */
+	public MotionDetectFilter(Device device) {
+		super();
+		this.device=device;
+		this.reset();
+	}
+	
+	public void reset() {
+		super.reset();
+		this.motionstartstamp=System.currentTimeMillis();
+		this.nowinmotion=false;
+		this.motionchangetime=190;
+	}
+	
+	public double[] filter(double[] vector) {
+		
+		if(this.nowinmotion &&
+				(System.currentTimeMillis()-this.motionstartstamp)>=
+					this.motionchangetime) {
+			this.nowinmotion=false;
+			this.device.fireMotionStopEvent();
+		} // fi
+		
+		return filterAlgorithm(vector);
+	}
+	
+	public double[] filterAlgorithm(double[] vector) {
+		if(vector!=null) {
+			this.motionstartstamp=System.currentTimeMillis();
+			if(!this.nowinmotion) {
+				this.nowinmotion=true;
+				this.motionstartstamp=System.currentTimeMillis();
+				this.device.fireMotionStartEvent();
+			}
+		}
+		
+		return vector;
+	}
+	
+	/**
+	 * Defines the time the wiimote has to be in idle state before a new motion change
+	 * event appears. The default value 500ms should work well, only change it if you are sure
+	 * about what you're doing.
+	 * @param time Time in ms
+	 */
+	public void setMotionChangeTime(int time) {
+		this.motionchangetime=time;
+	}
+	
+	public int getMotionChangeTime() {
+		return this.motionchangetime;
+	}
+
+}

src/logic/Classifier.java

@@ -0,0 +1,105 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package logic;
+
+import java.util.Vector;
+
+public class Classifier {
+
+	private Vector<GestureModel> gesturemodel; // each gesturetype got its own 
+										// gesturemodel in this vector
+	private double lastprob;
+	
+	public Classifier() {
+		this.gesturemodel=new Vector<GestureModel>();
+		this.lastprob=0.0;
+	}
+	
+	/** 
+	 * This method recognize a specific gesture, given to the procedure.
+	 * For classification a bayes classification algorithm is used.
+	 * 
+	 * @param g	gesture to classify
+	 */
+	public int classifyGesture(Gesture g) {
+		//System.out.println("Recognizing gesture...");
+		
+		// Wert im Nenner berechnen, nach Bayes
+		double sum = 0;
+		for(int i=0; i<this.gesturemodel.size(); i++) {
+			sum+=this.gesturemodel.elementAt(i).getDefaultProbability()*
+					this.gesturemodel.elementAt(i).matches(g);
+		}
+		
+		int recognized = -1; // which gesture has been recognized
+		double recogprob = Integer.MIN_VALUE; // probability of this gesture
+		double probgesture = 0; // temporal value for bayes algorithm
+		double probmodel = 0; // temporal value for bayes algorithm
+		for(int i=0; i<this.gesturemodel.size(); i++) {
+			//this.gesturemodel.elementAt(i).print(); // Debug
+			double tmpgesture = this.gesturemodel.elementAt(i).matches(g);
+			double tmpmodel = this.gesturemodel.elementAt(i).getDefaultProbability();
+			
+			if(((tmpmodel*tmpgesture)/sum)>recogprob) {
+				probgesture=tmpgesture;
+				probmodel=tmpmodel;
+				recogprob=((tmpmodel*tmpgesture)/sum);
+				recognized=i;
+			}
+		}
+		
+		// a gesture could be recognized
+		if(recogprob>0 && probmodel>0 && probgesture>0 && sum>0) {
+			this.lastprob=recogprob;
+			return recognized;
+		} else {
+			// no gesture could be recognized
+			return -1;
+		}
+		
+	}
+	
+	public double getLastProbability() {
+		return this.lastprob;
+	}
+	
+	public void addGestureModel(GestureModel gm) {
+		this.gesturemodel.add(gm);
+	}
+
+	public GestureModel getGestureModel(int id) {
+		return this.gesturemodel.elementAt(id);
+	}
+	
+	public Vector<GestureModel> getGestureModels() {
+		return this.gesturemodel;
+	}
+	
+	public void clear() {
+		this.gesturemodel = new Vector<GestureModel>();
+	}
+	
+
+}

src/logic/Gesture.java

@@ -0,0 +1,155 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package logic;
+
+import java.util.Vector;
+import event.AccelerationEvent;
+
+/**
+ * This class represents ONE movement trajectory in a
+ * concrete instance.
+ * 
+ * @author Benjamin 'BePo' Poppinga
+ */
+
+public class Gesture implements Cloneable {
+
+	/** Min/MaxAcceleration setup manually? */
+	private boolean minmaxmanual;
+	private double minacc;
+	private double maxacc;
+	
+	/** The complete trajectory as WiimoteAccelerationEvents
+	 * as a vector. It's a vector because we don't want to
+	 * loose the chronology of the stored events.
+	 */
+	private Vector<AccelerationEvent> data;
+
+	/**
+	 * Create an empty Gesture.
+	 */
+	public Gesture() {
+		this.data = new Vector<AccelerationEvent>();
+	}
+
+	/** 
+	 * Make a deep copy of another Gesture object.
+	 * 
+	 * @param original Another Gesture object
+	 */
+	public Gesture(Gesture original) {
+		this.data = new Vector<AccelerationEvent>();
+		Vector<AccelerationEvent> origin = original.getData();
+		for (int i = 0; i < origin.size(); i++) {
+			this.add((AccelerationEvent) origin.get(i));
+		}
+	}
+
+
+	/**
+	 * Adds a new acceleration event to this gesture.
+	 * 
+	 * @param event The WiimoteAccelerationEvent to add.
+	 */
+	public void add(AccelerationEvent event) {
+		this.data.add(event);
+	}
+
+	/**
+	 * Returns the last acceleration added to this gesture.
+	 * 
+	 * @return the last acceleration event added.
+	 */
+	public AccelerationEvent getLastData() {
+		return (AccelerationEvent) this.data.get(this.data.size() - 1);
+	}
+
+	/**
+	 * Returns the whole chronological sequence of accelerations as
+	 * a vector.
+	 * 
+	 * @return chronological sequence of accelerations.
+	 */
+	public Vector<AccelerationEvent> getData() {
+		return this.data;
+	}
+	
+	/**
+	 * Removes the first element of the acceleration queue of a gesture
+	 */
+	public void removeFirstData() {
+		this.data.remove(0);
+	}
+	
+	public int getCountOfData() {
+		return this.data.size();
+	}
+	
+	public void setMaxAndMinAcceleration(double max, double min) {
+		this.maxacc = max;
+		this.minacc = min;
+		this.minmaxmanual = true;
+	}
+	
+	public double getMaxAcceleration() {
+		if(!this.minmaxmanual) {
+		double maxacc = Double.MIN_VALUE;
+		for(int i=0; i<this.data.size(); i++) {
+			if(Math.abs(this.data.get(i).getX()) > maxacc) {
+				maxacc=Math.abs(this.data.get(i).getX());
+			}
+			if(Math.abs(this.data.get(i).getY()) > maxacc) {
+				maxacc=Math.abs(this.data.get(i).getY());
+			}
+			if(Math.abs(this.data.get(i).getZ()) > maxacc) {
+				maxacc=Math.abs(this.data.get(i).getZ());
+			}
+		}
+		return maxacc;
+		} else {
+			return this.maxacc;
+		}
+	}
+	
+	public double getMinAcceleration() {
+		if(!this.minmaxmanual) {
+		double minacc = Double.MAX_VALUE;
+		for(int i=0; i<this.data.size(); i++) {
+			if(Math.abs(this.data.get(i).getX()) < minacc) {
+				minacc=Math.abs(this.data.get(i).getX());
+			}
+			if(Math.abs(this.data.get(i).getY()) < minacc) {
+				minacc=Math.abs(this.data.get(i).getY());
+			}
+			if(Math.abs(this.data.get(i).getZ()) < minacc) {
+				minacc=Math.abs(this.data.get(i).getZ());
+			}
+		}
+		return minacc;
+		} else {
+			return this.minacc;	
+		}
+	}
+}

src/logic/GestureModel.java

@@ -0,0 +1,217 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package logic;
+
+import java.util.Vector;
+import event.AccelerationEvent;
+
+/** 
+ * This Class units a Quantizer-Component and an Model-Component.
+ * In this implementation a k-mean-algorithm for quantization and
+ * a hidden markov model as instance for the model has been used.
+ * 
+ * @author Benjamin 'BePo' Poppinga
+ */
+public class GestureModel {
+	
+	/** The number of states the hidden markov model consists of */
+	private int numStates;
+	
+	/** The number of observations for the hmm and k-mean */
+	private int numObservations;
+	
+	/** The id representation of this model */
+	private int id;
+
+	/** The quantization component */
+	private Quantizer quantizer;
+	
+	/** The statistical model, hidden markov model */
+	private HMM markovmodell;
+
+	/** The default probability of this gesturemodel,
+	 * needed for the bayes classifier */
+	private double defaultprobability;
+
+	
+	/** Creates a Unit (Quantizer&Model).
+	 * 
+	 * @param id
+	 *  int representation of a gesture "name"/class.
+	 */
+	public GestureModel(int id) {
+		this.id=id;
+		this.numStates=8; // n=8 states empirical value
+		this.numObservations=14; // k=14 observations empirical value
+		this.markovmodell = new HMM(numStates, numObservations); // init model
+		this.quantizer = new Quantizer(numStates); // init quantizer
+	}
+
+	/**
+	 * Trains the model to a set of motion-sequences, representing
+	 * different evaluations of a gesture
+	 * 
+	 * @param trainsequence	a vector of gestures
+	 */
+	public void train(Vector<Gesture> trainsequence) {
+		// summarize all vectors from the different gestures in one
+		// gesture called sum.
+		double maxacc=0;
+		double minacc=0;
+		Gesture sum = new Gesture();
+		
+		for(int i=0; i<trainsequence.size(); i++) {
+			Vector<AccelerationEvent> t = trainsequence.elementAt(i).getData();
+
+			// add the max and min acceleration, we later get the average
+			maxacc+=trainsequence.elementAt(i).getMaxAcceleration();
+			minacc+=trainsequence.elementAt(i).getMinAcceleration();
+			
+			// transfer every single accelerationevent of each gesture to
+			// the new gesture sum
+			for(int j=0; j<trainsequence.elementAt(i).getData().size(); j++) {
+				sum.add(t.elementAt(j));
+			}
+			
+		}
+		
+		// get the average and set it to the sum gesture
+		sum.setMaxAndMinAcceleration(maxacc/trainsequence.size(), minacc/trainsequence.size());
+		
+		// train the centeroids of the quantizer with this master gesture sum.
+		this.quantizer.trainCenteroids(sum);
+		
+		// convert gesture vector to a sequence of discrete values
+		Vector<int[]> seqs = new Vector<int[]>();
+		for(int i=0; i<trainsequence.size(); i++) {
+			seqs.add(this.quantizer.getObservationSequence(trainsequence.elementAt(i)));
+		}
+		
+		// train the markov model with this derived discrete sequences
+		this.markovmodell.train(seqs);
+		
+		// set the default probability for use with the bayes classifier
+		this.setDefaultProbability(trainsequence);
+	}
+
+	/** 
+	 * Returns the probability that a gesture matches to this
+	 * gesture model.
+	 * 
+	 * @param gesture a gesture to test.
+	 * @return probability that the gesture belongs to this gesture
+	 * model.
+	 */
+	public double matches(Gesture gesture) {
+		int[] sequence = quantizer.getObservationSequence(gesture);
+		return this.markovmodell.getProbability(sequence);
+	}
+
+	/**
+	 * For debug purposes or very technical interested people. :)
+	 */
+	public void printMap() {
+		System.out.println("Gesture "+this.id+" Quantizer-Map:");
+		this.quantizer.printMap();
+	}
+	
+	/***
+	 * For debug purposes or very technical interested people. :)
+	 * @return
+	 */
+	public void print() {
+		System.out.println("Debug Output for Gesture "+this.id);
+		System.out.println("HMM-Print:");
+		this.markovmodell.print();
+		System.out.println("Quanzizer-Print:");
+		this.quantizer.printMap();
+	}
+
+	public int getId() {
+		return this.id;
+	}
+	
+	public void setId(int id) {
+		this.id=id;
+	}
+	
+	public int getNumStates() {
+		return this.numStates;
+	}
+	
+	public int getNumObservations() {
+		return this.numObservations;
+	}
+	
+	/** 
+	 * Returns the model probability for bayes.
+	 * 
+	 * @return
+	 * 		the model probability
+	 */
+	public double getDefaultProbability() {
+		return this.defaultprobability;
+	}
+	
+	/**
+	 * Since the bayes classifier needs a model probability for
+	 * each model this has to be set once after training. As model
+	 * probability the average probability value has been choosen.
+	 * 
+	 * TODO: try lowest or highest model probability as alternative
+	 * 
+	 * @param defsequence the vector of training sequences.
+	 */
+	private void setDefaultProbability(Vector<Gesture> defsequence) {
+		double prob=0;
+		for(int i=0; i<defsequence.size(); i++) {
+			prob+=this.matches(defsequence.elementAt(i));
+		}
+		
+		this.defaultprobability=(prob)/defsequence.size();
+	}
+	
+	public void setDefaultProbability(double prob) {
+		this.defaultprobability = prob;
+		System.out.println("def-prob. set to = "+this.defaultprobability);
+	}
+
+	public Quantizer getQuantizer() {
+		return this.quantizer;
+	}
+	
+	public void setQuantizer(Quantizer q) {
+		this.quantizer = q;
+	}
+	
+	public HMM getHMM() {
+		return this.markovmodell;
+	}
+	
+	public void setHMM(HMM hmm) {
+		this.markovmodell = hmm;	
+	}
+	
+}

src/logic/HMM.java

@@ -0,0 +1,315 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package logic;
+import java.text.*;
+import java.util.Vector;
+
+/**
+ * This is a Hidden Markov Model implementation which internally provides
+ * the basic algorithms for training and recognition (forward and backward
+ * algorithm). Since a regular Hidden Markov Model doesn't provide a possibility
+ * to train multiple sequences, this implementation has been optimized for this
+ * purposes using some state-of-the-art technologies described in several papers.
+ *
+ * @author Benjamin 'BePo' Poppinga
+ *
+ */
+
+public class HMM {
+	/** The number of states */
+	private int numStates;
+
+	/** The number of observations */
+	private int numObservations;
+
+	/** The initial probabilities for each state: p[state] */
+	private double pi[];
+
+	/** The state change probability to switch from state A to
+	 * state B: a[stateA][stateB] */
+	private double a[][];
+
+	/** The probability to emit symbol S in state A: b[stateA][symbolS] */
+	private double b[][];
+
+	/**
+	 * Initialize the Hidden Markov Model in a left-to-right version.
+	 * 
+	 * @param numStates Number of states
+	 * @param numObservations Number of observations
+	 */
+	public HMM(int numStates, int numObservations) {
+		this.numStates = numStates;
+		this.numObservations = numObservations;
+		pi = new double[numStates];
+		a = new double[numStates][numStates];
+		b = new double[numStates][numObservations];
+		this.reset();
+	}
+	
+	/**
+	 * Reset the Hidden Markov Model to the initial left-to-right values.
+	 *
+	 */
+	private void reset() {
+		int jumplimit = 2;
+		
+		// set startup probability
+		pi[0] = 1;
+		for(int i=1; i<numStates; i++) {
+			pi[i] = 0;
+		}
+		
+		// set state change probabilities in the left-to-right version
+		// NOTE: i now that this is dirty and very static. :)
+		for(int i=0; i<numStates; i++) {
+			for(int j=0; j<numStates; j++) {
+				if(i==numStates-1 && j==numStates-1) { // last row
+					a[i][j] = 1.0;
+				} else if(i==numStates-2 && j==numStates-2) { // next to last row
+					a[i][j] = 0.5;
+				} else if(i==numStates-2 && j==numStates-1) { // next to last row
+					a[i][j] = 0.5;
+				} else if(i<=j && i>j-jumplimit-1) {
+					a[i][j] = 1.0/(jumplimit+1);
+				} else {
+					a[i][j] = 0.0;
+				}
+			}
+		}
+		
+		
+		// emission probability
+		for(int i=0; i<numStates; i++) {
+			for(int j=0; j<numObservations; j++) {
+				b[i][j] = 1.0/(double)numObservations;
+			}
+		}
+	}
+
+	/**
+	 * Trains the Hidden Markov Model with multiple sequences.
+	 * This method is normally not known to basic hidden markov
+	 * models, because they usually use the Baum-Welch-Algorithm.
+	 * This method is NOT the traditional Baum-Welch-Algorithm.
+	 * 
+	 * If you want to know in detail how it works please consider
+	 * my Individuelles Projekt paper on the wiigee Homepage. Also
+	 * there exist some english literature on the world wide web.
+	 * Try to search for some papers by Rabiner or have a look at
+	 * Vesa-Matti Mäntylä - "Discrete Hidden Markov Models with
+	 * application to isolated user-dependent hand gesture recognition". 
+	 * 
+	 */
+	public void train(Vector<int[]> trainsequence) {
+
+		double[][] a_new = new double[a.length][a.length];
+		double[][] b_new = new double[b.length][b[0].length];
+		// re calculate state change probability a
+		for(int i=0; i<a.length; i++) {
+			for(int j=0; j<a[i].length; j++) {	
+				double zaehler=0;
+				double nenner=0;
+			
+				for(int k=0; k<trainsequence.size(); k++) {
+					this.reset();
+					int[] sequence = trainsequence.elementAt(k);
+					
+					double[][] fwd = this.forwardProc(sequence);
+					double[][] bwd = this.backwardProc(sequence);
+					double prob = this.getProbability(sequence);
+		
+					double zaehler_innersum=0;
+					double nenner_innersum=0;
+					
+					
+					for(int t=0; t<sequence.length-1; t++) {
+						zaehler_innersum+=fwd[i][t]*a[i][j]*b[j][sequence[t+1]]*bwd[j][t+1];
+						nenner_innersum+=fwd[i][t]*bwd[i][t];
+					}
+					zaehler+=(1/prob)*zaehler_innersum;
+					nenner+=(1/prob)*nenner_innersum;
+				} // k
+		
+				a_new[i][j] = zaehler/nenner;
+			} // j
+		} // i
+		
+		// re calculate emission probability b
+		for(int i=0; i<b.length; i++) { // zustaende
+			for(int j=0; j<b[i].length; j++) {	// symbole
+				double zaehler=0;
+				double nenner=0;
+			
+				for(int k=0; k<trainsequence.size(); k++) {
+					this.reset();
+					int[] sequence = trainsequence.elementAt(k);
+					
+					double[][] fwd = this.forwardProc(sequence);
+					double[][] bwd = this.backwardProc(sequence);
+					double prob = this.getProbability(sequence);
+		
+					double zaehler_innersum=0;
+					double nenner_innersum=0;
+					
+					
+					for(int t=0; t<sequence.length-1; t++) {
+						if(sequence[t]==j) {
+							zaehler_innersum+=fwd[i][t]*bwd[i][t];
+						}
+						nenner_innersum+=fwd[i][t]*bwd[i][t];
+					}
+					zaehler+=(1/prob)*zaehler_innersum;
+					nenner+=(1/prob)*nenner_innersum;
+				} // k
+		
+				b_new[i][j] = zaehler/nenner;
+			} // j
+		} // i
+	
+		this.a=a_new;
+		this.b=b_new;
+	}
+	
+	/**
+	 * Traditional Forward Algorithm.
+	 * 
+	 * @param o the observationsequence O
+	 * @return Array[State][Time] 
+	 * 
+	 */
+	private double[][] forwardProc(int[] o) {
+		double[][] f = new double[numStates][o.length];
+		for (int l = 0; l < f.length; l++) {
+			f[l][0] = pi[l] * b[l][o[0]];
+		}
+		for (int i = 1; i < o.length; i++) {
+			for (int k = 0; k < f.length; k++) {
+				double sum = 0;
+				for (int l = 0; l < numStates; l++) {
+					sum += f[l][i-1] * a[l][k];
+				}
+				f[k][i] = sum * b[k][o[i]];
+			}
+		}
+		return f;
+	}
+	
+	/**
+	 * Returns the probability that a observation sequence O belongs
+	 * to this Hidden Markov Model without using the bayes classifier.
+	 * Internally the well known forward algorithm is used.
+	 * 
+	 * @param o observation sequence
+	 * @return probability that sequence o belongs to this hmm
+	 */
+	public double getProbability(int[] o) {
+		double prob = 0.0;
+		double[][] forward = this.forwardProc(o);
+		//	add probabilities
+		for (int i = 0; i < forward.length; i++) { // for every state
+			prob += forward[i][forward[i].length - 1];
+		}
+		return prob;
+	}
+	
+
+	/**
+	 * Backward algorithm.
+	 * 
+	 * @param o observation sequence o
+	 * @return Array[State][Time]
+	 */
+	public double[][] backwardProc(int[] o) {
+		int T = o.length;
+		double[][] bwd = new double[numStates][T];
+		/* Basisfall */
+		for (int i = 0; i < numStates; i++)
+			bwd[i][T - 1] = 1;
+		/* Induktion */
+		for (int t = T - 2; t >= 0; t--) {
+			for (int i = 0; i < numStates; i++) {
+				bwd[i][t] = 0;
+				for (int j = 0; j < numStates; j++)
+					bwd[i][t] += (bwd[j][t + 1] * a[i][j] * b[j][o[t + 1]]);
+			}
+		}
+		return bwd;
+	}
+
+	
+
+	/** 
+	 * Prints everything about this model, including
+	 * all values. For debug purposes or if you want
+	 * to comprehend what happend to the model.
+	 * 
+	 */
+	public void print() {
+		DecimalFormat fmt = new DecimalFormat();
+		fmt.setMinimumFractionDigits(5);
+		fmt.setMaximumFractionDigits(5);
+		for (int i = 0; i < numStates; i++)
+			System.out.println("pi(" + i + ") = " + fmt.format(pi[i]));
+		System.out.println();
+		for (int i = 0; i < numStates; i++) {
+			for (int j = 0; j < numStates; j++)
+				System.out.print("a(" + i + "," + j + ") = "
+						+ fmt.format(a[i][j]) + " ");
+			System.out.println();
+		}
+		System.out.println();
+		for (int i = 0; i < numStates; i++) {
+			for (int k = 0; k < numObservations; k++)
+				System.out.print("b(" + i + "," + k + ") = "
+						+ fmt.format(b[i][k]) + " ");
+			System.out.println();
+		}
+	}
+	
+	public double[] getPi() {
+		return this.pi;
+	}
+	
+	public void setPi(double[] pi) {
+		this.pi = pi;
+	}
+
+	public double[][] getA() {
+		return this.a;
+	}
+	
+	public void setA(double[][] a) {
+		this.a = a;
+	}
+	
+	public double[][] getB() {
+		return this.b;
+	}
+	
+	public void setB(double[][] b) {
+		this.b=b;
+	}
+}

src/logic/PreciseHMM.java

@@ -0,0 +1,448 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package logic;
+import java.text.*;
+import java.util.Vector;
+import java.lang.Math;
+
+/**
+ * This is a Hidden Markov Model implementation which internally provides
+ * the basic algorithms for training and recognition (forward and backward
+ * algorithm). Since a regular Hidden Markov Model doesn't provide a possibility
+ * to train multiple sequences, this implementation has been optimized for this
+ * purposes using some state-of-the-art technologies described in several papers.
+ *
+ * @author Benjamin 'BePo' Poppinga
+ *
+ */
+
+public class PreciseHMM {
+	/** The number of states */
+	private int numStates;
+
+	/** The number of observations */
+	private int sigmaSize;
+
+	/** The initial probabilities for each state: p[state] */
+	public double pi[];
+
+	/** The state change probability to switch from state A to
+	 * state B: a[stateA][stateB] */
+	public double a[][];
+
+	/** The probability to emit symbol S in state A: b[stateA][symbolS] */
+	public double b[][];
+
+	/**
+	 * Initialize the Hidden Markov Model in a left-to-right version.
+	 * 
+	 * @param numStates Number of states
+	 * @param sigmaSize Number of observations
+	 */
+	public PreciseHMM(int numStates, int sigmaSize) {
+		this.numStates = numStates;
+		this.sigmaSize = sigmaSize;
+		pi = new double[numStates];
+		a = new double[numStates][numStates];
+		b = new double[numStates][sigmaSize];
+		this.reset();
+	}
+	
+	/**
+	 * Reset the Hidden Markov Model to the initial left-to-right values.
+	 *
+	 */
+	private void reset() {
+		int jumplimit = 2;
+		
+		// set startup probability
+		pi[0] = 1.0;
+		for(int i=1; i<numStates; i++) {
+			pi[i] = 0;
+		}
+		
+		// set state change probabilities in the left-to-right version
+		// NOTE: i now that this is dirty and very static. :)
+		for(int i=0; i<numStates; i++) {
+			for(int j=0; j<numStates; j++) {
+				if(i==numStates-1 && j==numStates-1) { // last row
+					a[i][j] = 1.0;
+				} else if(i==numStates-2 && j==numStates-2) { // next to last row
+					a[i][j] = 0.5;
+				} else if(i==numStates-2 && j==numStates-1) { // next to last row
+					a[i][j] = 0.5;
+				} else if(i<=j && i>j-jumplimit-1) {
+					a[i][j] = 1.0/(jumplimit+1);
+				} else {
+					a[i][j] = 0.0;
+				}
+			}
+		}
+		
+		// emission probability
+		for(int i=0; i<numStates; i++) {
+			for(int j=0; j<sigmaSize; j++) {
+				b[i][j] = 1.0/(double)sigmaSize;
+			}
+		}
+	}
+
+	/**
+	 * Trains the Hidden Markov Model with multiple sequences.
+	 * This method is normally not known to basic hidden markov
+	 * models, because they usually use the Baum-Welch-Algorithm.
+	 * This method is NOT the traditional Baum-Welch-Algorithm.
+	 * 
+	 * If you want to know in detail how it works please consider
+	 * my Individuelles Projekt paper on the wiigee Homepage. Also
+	 * there exist some english literature on the world wide web.
+	 * Try to search for some papers by Rabiner or have a look at
+	 * Vesa-Matti Mäntylä - "Discrete Hidden Markov Models with
+	 * application to isolated user-dependent hand gesture recognition". 
+	 * 
+	 */
+	public void train(Vector<int[]> trainsequence) {
+
+		double[][] a_new = new double[a.length][a.length];
+		double[][] b_new = new double[b.length][b[0].length];
+		// re calculate state change probability a
+		for(int i=0; i<a.length; i++) {
+			for(int j=0; j<a[i].length; j++) {	
+				double zaehler=0;
+				double nenner=0;
+			
+				for(int k=0; k<trainsequence.size(); k++) {
+					//this.reset();
+					int[] sequence = trainsequence.elementAt(k);
+					
+					double[] sf = this.calculateScalingFactor(sequence);
+					double[][] fwd = this.scaledForwardProc(sequence);
+					double[][] bwd = this.scaledBackwardProc(sequence, sf);
+		
+					double zaehler_innersum=0;
+					double nenner_innersum=0;
+					
+					for(int t=0; t<sequence.length-1; t++) {
+						zaehler_innersum+=fwd[i][t]*a[i][j]*b[j][sequence[t+1]]*bwd[j][t+1]*sf[t+1];
+						nenner_innersum+=fwd[i][t]*bwd[i][t];
+					}
+					zaehler+=zaehler_innersum;
+					nenner+=nenner_innersum;
+				} // k
+				
+				a_new[i][j] = zaehler/nenner;
+			} // j
+		} // i			
+		
+		// re calculate emission probability b
+		for(int i=0; i<b.length; i++) { // zustaende
+			for(int j=0; j<b[i].length; j++) {	// symbole
+				double zaehler=0;
+				double nenner=0;
+			
+				for(int k=0; k<trainsequence.size(); k++) {
+					//this.reset();
+					int[] sequence = trainsequence.elementAt(k);
+					
+					double[] sf = this.calculateScalingFactor(sequence);
+					double[][] fwd = this.scaledForwardProc(sequence);
+					double[][] bwd = this.scaledBackwardProc(sequence, sf);
+		
+					double zaehler_innersum=0;
+					double nenner_innersum=0;
+					
+					for(int t=0; t<sequence.length-1; t++) {
+						if(sequence[t]==j) {
+							zaehler_innersum+=fwd[i][t]*bwd[i][t]*sf[t];
+						}
+						nenner_innersum+=fwd[i][t]*bwd[i][t]*sf[t];
+					}
+					zaehler+=zaehler_innersum;
+					nenner+=nenner_innersum;
+				} // k
+		
+				b_new[i][j] = zaehler/nenner;
+			} // j
+		} // i	
+		
+		this.a=a_new;
+		this.b=b_new;
+	}
+	
+	
+	private double[] calculateScalingFactor(int[] sequence) {
+		// for all indexing: [state][time]
+		double[][] fwd = this.forwardProc(sequence); // normal
+		double[][] help = new double[fwd.length][fwd[0].length];
+		double[][] scaled = new double[fwd.length][fwd[0].length];
+		double[] sf = new double[sequence.length];
+		
+		// ************** BASIS *************
+		// Basis, fixed t=0
+		// setup, because needed for further calculations
+		for(int i=0; i<help.length; i++) {
+			help[i][0] = fwd[i][0];
+		}
+		
+		// setup initial scaled array
+		double sum0 = 0;
+		for(int i=0; i<help.length; i++) {
+			sum0+=help[i][0];
+		}
+		
+		for(int i=0; i<scaled.length; i++) {
+			scaled[i][0] = help[i][0] / sum0;
+		}
+		
+		// calculate scaling factor
+		sf[0] = 1/sum0;
+		
+		// **************** INDUCTION ***************
+		// end of fixed t = 0
+		// starting with t>1 to sequence.length
+		// induction, further calculations
+		for(int t=1; t<sequence.length; t++) {
+			// calculate help
+			for(int i=0; i<help.length; i++) {
+				for(int j=0; j<this.numStates; j++) {
+					help[i][t]+=scaled[j][t-1]*a[j][i]*b[i][sequence[t]];
+				}
+			}
+			
+			double sum = 0;
+			for(int i=0; i<help.length; i++) {
+				sum+=help[i][t];
+			}
+			
+			for(int i=0; i<scaled.length; i++) {
+				scaled[i][t] = help[i][t] / sum;
+			}
+
+			// calculate scaling factor
+			sf[t] = 1 / sum;
+			
+		} // t
+		
+		return sf;
+	}  // calculateScalingFactor
+	
+	/***
+	 * Returns the scaled Forward variable.
+	 * TODO: Maybe try out if the other precalculated method is faster.
+	 * @param sequence
+	 * @return
+	 */
+	private double[][] scaledForwardProc(int[] sequence) {
+		double[][] fwd = this.forwardProc(sequence);
+		double[][] out = new double[fwd.length][fwd[0].length];
+		for(int i=0; i<fwd.length; i++) {
+			for(int t=0; t<sequence.length; t++) {
+				double sum = 0;
+				for(int j=0; j<fwd.length; j++) {
+					sum+=fwd[j][t];
+				}
+				out[i][t] = fwd[i][t] / sum;
+			}
+		}
+		return out;
+	}
+	
+	private double[][] scaledBackwardProc(int[] sequence, double[] sf) {
+		double[][] bwd = this.backwardProc(sequence);
+		double[][] out = new double[bwd.length][bwd[0].length];
+		for(int i=0; i<bwd.length; i++) {
+			for(int t=0; t<sequence.length; t++) {
+				out[i][t]=1;
+				for(int r=t+1; r<sequence.length; r++) {
+					out[i][t]*=sf[r]*bwd[i][t];
+				}
+			}
+		}
+		return out;
+	}
+	
+	/**
+	 * Returns the probability that a observation sequence O belongs
+	 * to this Hidden Markov Model without using the bayes classifier.
+	 * Internally the well known forward algorithm is used.
+	 * 
+	 * @param o observation sequence
+	 * @return probability that sequence o belongs to this hmm
+	 */
+	public double getProbability(int[] o) {
+		return scaledViterbi(o);
+		//return sProbability(o);
+		/*double prob = 0.0;
+		double[][] forward = this.forwardProc(o);
+		//	add probabilities
+		for (int i = 0; i < forward.length; i++) { // for every state
+			prob += forward[i][forward[i].length - 1];
+		}
+		return prob;*/
+	}
+	
+	public double sProbability(int[] o) {
+		double prod = 1.0;
+		double[][] fwd = this.scaledForwardProc(o);
+		for(int t=0; t<o.length; t++) {
+			double sum = 0.0;
+			for(int i=0; i<this.numStates; i++) {
+				sum+=fwd[i][t];
+			}
+			sum = 1/sum;
+			prod*=sum;
+		}
+		return 1/prod;
+	}
+	
+	public double scaledViterbi(int[] o) {
+		double[][] phi = new double[this.numStates][o.length]; //phi[states][oseq]
+		// init
+		for(int i=0; i<this.numStates; i++) {
+			phi[i][0] = Math.log(pi[i]) + Math.log(b[i][o[0]]);
+		}
+		// induction
+		for(int t=1; t<o.length; t++) {
+			for(int j=0; j<this.numStates; j++) {
+				double max = Double.NEGATIVE_INFINITY;
+				for(int i=0; i<this.numStates; i++) {
+					double val = phi[i][t-1] + Math.log(this.a[i][j]);
+					if(val>max) {
+						max = val;
+					}
+				}			
+				
+				phi[j][t] = max + Math.log(this.b[j][o[t]]);
+			}
+		}
+		// conclusion
+		double lp = Double.NEGATIVE_INFINITY;
+		for(int i=0; i<this.numStates; i++) {
+			if(phi[i][o.length-1]>lp) {
+				lp = phi[i][o.length-1];
+			}
+		}
+		
+		//System.out.println("log p = "+lp);
+		//return lp;
+		// we now have log10(p) calculated, transform to p.
+		System.out.println("prob = "+Math.exp(lp));
+		return Math.exp(lp);
+		//return Math.pow(10, lp);
+	}
+	
+	/**
+	 * Traditional Forward Algorithm.
+	 * 
+	 * @param o the observationsequence O
+	 * @return Array[State][Time] 
+	 * 
+	 */
+	private double[][] forwardProc(int[] o) {
+		double[][] f = new double[numStates][o.length];
+		for (int l = 0; l < f.length; l++) {
+			f[l][0] = pi[l] * b[l][o[0]];
+		}
+		for (int i = 1; i < o.length; i++) {
+			for (int k = 0; k < f.length; k++) {
+				double sum = 0;
+				for (int l = 0; l < numStates; l++) {
+					sum += f[l][i-1] * a[l][k];
+				}
+				f[k][i] = sum * b[k][o[i]];
+			}
+		}
+		return f;
+	}
+
+	/**
+	 * Backward algorithm.
+	 * 
+	 * @param o observation sequence o
+	 * @return Array[State][Time]
+	 */
+	private double[][] backwardProc(int[] o) {
+		int T = o.length;
+		double[][] bwd = new double[numStates][T];
+		/* Basisfall */
+		for (int i = 0; i < numStates; i++)
+			bwd[i][T - 1] = 1;
+		/* Induktion */
+		for (int t = T - 2; t >= 0; t--) {
+			for (int i = 0; i < numStates; i++) {
+				bwd[i][t] = 0;
+				for (int j = 0; j < numStates; j++)
+					bwd[i][t] += (bwd[j][t + 1] * a[i][j] * b[j][o[t + 1]]);
+			}
+		}
+		return bwd;
+	}
+
+	
+
+	/** 
+	 * Prints everything about this model, including
+	 * all values. For debug purposes or if you want
+	 * to comprehend what happend to the model.
+	 * 
+	 */
+	public void print() {
+		DecimalFormat fmt = new DecimalFormat();
+		fmt.setMinimumFractionDigits(10);
+		fmt.setMaximumFractionDigits(10);
+		for (int i = 0; i < numStates; i++)
+			System.out.println("pi(" + i + ") = " + fmt.format(pi[i]));
+		System.out.println();
+		for (int i = 0; i < numStates; i++) {
+			for (int j = 0; j < numStates; j++)
+				System.out.print("a(" + i + "," + j + ") = "
+						+ fmt.format(a[i][j]) + " ");
+			System.out.println();
+		}
+		System.out.println();
+		for (int i = 0; i < numStates; i++) {
+			for (int k = 0; k < sigmaSize; k++)
+				System.out.print("b(" + i + "," + k + ") = "
+						+ fmt.format(b[i][k]) + " ");
+			System.out.println();
+		}
+	}
+
+	public double[][] getA() {
+		return this.a;
+	}
+	
+	public void setA(double[][] a) {
+		this.a = a;
+	}
+	
+	public double[][] getB() {
+		return this.b;
+	}
+	
+	public void setB(double[][] b) {
+		this.b=b;
+	}
+}

src/logic/ProcessingUnit.java

@@ -0,0 +1,85 @@
+package logic;
+
+import java.util.Vector;
+
+import event.AccelerationEvent;
+import event.ButtonPressedEvent;
+import event.ButtonReleasedEvent;
+import event.DeviceListener;
+import event.GestureEvent;
+import event.GestureListener;
+import event.InfraredEvent;
+import event.MotionStartEvent;
+import event.MotionStopEvent;
+import event.StateEvent;
+
+public abstract class ProcessingUnit implements DeviceListener {
+
+	// Classifier
+	protected Classifier classifier;
+	
+	// Listener
+	private Vector<GestureListener> listen = new Vector<GestureListener>();
+	
+	protected int gesturecount;
+	
+	public ProcessingUnit() {
+		this.classifier = new Classifier();
+		this.gesturecount=0;
+	}
+	
+	/** 
+	 * Add an GestureListener to receive Gesture/StateEvents.
+	 * 
+	 * @param g
+	 * 	Class which implements GestureListener interface
+	 */
+	public void addGestureListener(GestureListener g) {
+		this.listen.add(g);
+	}
+	
+	protected void fireGestureEvent(int id, double probability) {
+		GestureEvent w = new GestureEvent(this, id, probability);
+		for(int i=0; i<this.listen.size(); i++) {
+			this.listen.get(i).gestureReceived(w);
+		}
+	}
+	
+	protected void fireStateEvent(int state) {
+		StateEvent w = new StateEvent(this, state);
+		for(int i=0; i<this.listen.size(); i++) {
+			this.listen.get(i).stateReceived(w);
+		}
+	}
+	
+	public abstract void accelerationReceived(AccelerationEvent event);
+
+	public abstract void buttonPressReceived(ButtonPressedEvent event);
+
+	public abstract void buttonReleaseReceived(ButtonReleasedEvent event);
+
+	public abstract void infraredReceived(InfraredEvent event);
+
+	public abstract void motionStartReceived(MotionStartEvent event);
+
+	public abstract void motionStopReceived(MotionStopEvent event);
+	
+	/**
+	 * Resets the complete gesturemodel. After reset no gesture is known
+	 * to the system.
+	 */
+	public void reset() {
+		if(this.gesturecount>0) {
+			this.classifier.clear();
+			System.out.println("### Model reset ###");
+		} else {
+			System.out.println("There doesn't exist any data to reset.");
+		}
+	}
+	
+	// File IO
+	public abstract void loadGesture(String name);
+	
+	public abstract void saveGesture(int id, String name);
+	
+}

src/logic/Quantizer.java

@@ -0,0 +1,308 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package logic;
+
+import java.util.Vector;
+import event.AccelerationEvent;
+
+/**
+ * This class implements a quantization component. In this case a
+ * k-mean-algorithm is used. In this case the initial values of the algorithm
+ * are ordered as two intersected circles, representing an abstract globe with
+ * k=14 elements. As a special feature the radius of this globe would be
+ * calculated dynamically before the training of this component.
+ * 
+ * @author Benjamin 'BePo' Poppinga
+ */
+public class Quantizer {
+
+	/** This is the initial radius of this model. */
+	private double radius;
+
+	/** Number of states from the following Hidden Markov Model */
+	private int numStates;
+
+	/** The representation of the so called Centeroids */
+	private double[][] map;
+
+	/** True, if map is already trained. */
+	private boolean maptrained;
+
+	/**
+	 * Initialize a empty quantizer. The states variable is necessary since some
+	 * algorithms need this value to calculate their values correctly.
+	 * 
+	 * @param numStates
+	 *            number of hidden markov model states
+	 */
+	public Quantizer(int numStates) {
+		this.numStates = numStates;
+		this.map = new double[14][3];
+		this.maptrained = false;
+	}
+
+	/**
+	 * Trains this Quantizer with a specific gesture. This means that the
+	 * positions of the centeroids would adapt to this training gesture. In our
+	 * case this would happen with a summarized virtual gesture, containing all
+	 * the other gestures.
+	 * 
+	 * @param gesture
+	 *            the summarized virtual gesture
+	 */
+	public void trainCenteroids(Gesture gesture) {
+		Vector<AccelerationEvent> data = gesture.getData();
+		double pi = Math.PI;
+		this.radius = (gesture.getMaxAcceleration() + gesture
+				.getMinAcceleration()) / 2;
+		System.out.println("Using radius: " + this.radius);
+
+		// x , z , y
+		if (!this.maptrained) {
+			this.maptrained = true;
+			this.map[0] = new double[] { this.radius, 0.0, 0.0 };
+			this.map[1] = new double[] { Math.cos(pi / 4) * this.radius, 0.0,
+					Math.sin(pi / 4) * this.radius };
+			this.map[2] = new double[] { 0.0, 0.0, this.radius };
+			this.map[3] = new double[] { Math.cos(pi * 3 / 4) * this.radius,
+					0.0, Math.sin(pi * 3 / 4) * this.radius };
+			this.map[4] = new double[] { -this.radius, 0.0, 0.0 };
+			this.map[5] = new double[] { Math.cos(pi * 5 / 4) * this.radius,
+					0.0, Math.sin(pi * 5 / 4) * this.radius };
+			this.map[6] = new double[] { 0.0, 0.0, -this.radius };
+			this.map[7] = new double[] { Math.cos(pi * 7 / 4) * this.radius,
+					0.0, Math.sin(pi * 7 / 4) * this.radius };
+
+			this.map[8] = new double[] { 0.0, this.radius, 0.0 };
+			this.map[9] = new double[] { 0.0, Math.cos(pi / 4) * this.radius,
+					Math.sin(pi / 4) * this.radius };
+			this.map[10] = new double[] { 0.0,
+					Math.cos(pi * 3 / 4) * this.radius,
+					Math.sin(pi * 3 / 4) * this.radius };
+			this.map[11] = new double[] { 0.0, -this.radius, 0.0 };
+			this.map[12] = new double[] { 0.0,
+					Math.cos(pi * 5 / 4) * this.radius,
+					Math.sin(pi * 5 / 4) * this.radius };
+			this.map[13] = new double[] { 0.0,
+					Math.cos(pi * 7 / 4) * this.radius,
+					Math.sin(pi * 7 / 4) * this.radius };
+		}
+
+		int[][] g_alt = new int[this.map.length][data.size()];
+		int[][] g = new int[this.map.length][data.size()];
+
+		do {
+			// Derive new Groups...
+			g_alt = this.copyarray(g);
+			g = this.deriveGroups(gesture);
+
+			// calculate new centeroids
+			for (int i = 0; i < this.map.length; i++) {
+				double zaehlerX = 0;
+				double zaehlerY = 0;
+				double zaehlerZ = 0;
+				int nenner = 0;
+				for (int j = 0; j < data.size(); j++) {
+					if (g[i][j] == 1) {
+						zaehlerX += data.elementAt(j).getX();
+						zaehlerY += data.elementAt(j).getY();
+						zaehlerZ += data.elementAt(j).getZ();
+						nenner++;
+					}
+				}
+				if (nenner > 1) { // nur wenn der nenner>0 oder >1??? ist muss
+									// was
+					// geaendert werden
+					// System.out.println("Setze neuen Centeroid!");
+					this.map[i] = new double[] {(zaehlerX / (double) nenner),
+												(zaehlerY / (double) nenner),
+												(zaehlerZ / (double) nenner) };
+					// System.out.println("Centeroid: "+i+": "+newcenteroid[0]+":"+newcenteroid[1]);
+				}
+			} // new centeroids
+
+		} while (!equalarrays(g_alt, g));
+
+		// Debug: Printout groups
+		/*
+		 * for (int i = 0; i < n; i++) { for (int j = 0; j < this.data.size();
+		 * j++) { System.out.print(g[i][j] + "|"); } System.out.println(""); }
+		 */
+
+	}
+
+	/**
+	 * This methods looks up a Gesture to a group matrix, used by the
+	 * k-mean-algorithm (traincenteroid method) above.
+	 * 
+	 * @param gesture
+	 *            the gesture
+	 */
+	public int[][] deriveGroups(Gesture gesture) {
+		Vector<AccelerationEvent> data = gesture.getData();
+		int[][] groups = new int[this.map.length][data.size()];
+
+		// Calculate cartesian distance
+		double[][] d = new double[this.map.length][data.size()];
+		double[] curr = new double[3];
+		double[] vector = new double[3];
+		for (int i = 0; i < this.map.length; i++) { // zeilen
+			double[] ref = this.map[i];
+			for (int j = 0; j < data.size(); j++) { // spalten
+
+				curr[0] = data.elementAt(j).getX();
+				curr[1] = data.elementAt(j).getY();
+				curr[2] = data.elementAt(j).getZ();
+
+				vector[0] = ref[0] - curr[0];
+				vector[1] = ref[1] - curr[1];
+				vector[2] = ref[2] - curr[2];
+				d[i][j] = Math.sqrt((vector[0] * vector[0])
+						+ (vector[1] * vector[1]) + (vector[2] * vector[2]));
+				// System.out.print(d[i][j] + "|");
+			}
+			// System.out.println("");
+		}
+
+		// look, to which group a value belongs
+		for (int j = 0; j < data.size(); j++) {
+			double smallest = Double.MAX_VALUE;
+			int row = 0;
+			for (int i = 0; i < this.map.length; i++) {
+				if (d[i][j] < smallest) {
+					smallest = d[i][j];
+					row = i;
+				}
+				groups[i][j] = 0;
+			}
+			groups[row][j] = 1; // guppe gesetzt
+		}
+
+		// Debug output
+		/*
+		 * for (int i = 0; i < groups.length; i++) { // zeilen for (int j = 0; j
+		 * < groups[i].length; j++) { System.out.print(groups[i][j] + "|"); }
+		 * System.out.println(""); }
+		 */
+
+		return groups;
+
+	}
+
+	/**
+	 * With this method you can transform a gesture to a discrete symbol
+	 * sequence with values between 0 and granularity (number of observations).
+	 * 
+	 * @param gesture
+	 *            Gesture to get the observationsequence to.
+	 */
+	public int[] getObservationSequence(Gesture gesture) {
+		int[][] groups = this.deriveGroups(gesture);
+		Vector<Integer> sequence = new Vector<Integer>();
+
+		// System.out.print("Visible symbol sequence: ");
+
+		for (int j = 0; j < groups[0].length; j++) { // spalten
+			for (int i = 0; i < groups.length; i++) { // zeilen
+				if (groups[i][j] == 1) {
+					// System.out.print(" "+ i);
+					sequence.add(i);
+					break;
+				}
+			}
+		}
+
+		// die sequenz darf nicht zu kurz sein... mindestens so lang
+		// wie die anzahl der zustände. weil sonst die formeln nicht klappen.
+		// english: this is very dirty! it have to be here because if not
+		// too short sequences would cause an error. i've to think about a
+		// better resolution than copying the old value a few time.
+		while (sequence.size() < this.numStates) {
+			sequence.add(sequence.elementAt(sequence.size() - 1));
+			// System.out.print(" "+sequence.elementAt(sequence.size()-1));
+		}
+
+		// System.out.println("");
+
+		int[] out = new int[sequence.size()];
+		for (int i = 0; i < sequence.size(); i++) {
+			out[i] = sequence.elementAt(i);
+		}
+
+		return out;
+	}
+
+	/**
+	 * Prints out the current centeroids-map. Its for debug or technical
+	 * interests.
+	 */
+	public void printMap() {
+		System.out.println("Centeroids:");
+		for (int i = 0; i < this.map.length; i++) {
+			System.out.println(i + ". :" + this.map[i][0] + ":"
+					+ this.map[i][1] + ":" + this.map[i][2]);
+		}
+	}
+
+	/**
+	 * Function to deepcopy an array.
+	 */
+	private int[][] copyarray(int[][] alt) {
+		int[][] neu = new int[alt.length][alt[0].length];
+		for (int i = 0; i < alt.length; i++) {
+			for (int j = 0; j < alt[i].length; j++) {
+				neu[i][j] = alt[i][j];
+			}
+		}
+		return neu;
+	}
+
+	/**
+	 * Function to look if the two arrays containing the same values.
+	 */
+	private boolean equalarrays(int[][] one, int[][] two) {
+		for (int i = 0; i < one.length; i++) {
+			for (int j = 0; j < one[i].length; j++) {
+				if (!(one[i][j] == two[i][j])) {
+					return false;
+				}
+			}
+		}
+		return true;
+	}
+
+	public double getRadius() {
+		return this.radius;
+	}
+
+	public double[][] getHashMap() {
+		return this.map;
+	}
+
+	public void setUpManually(double[][] map, double radius) {
+		this.map = map;
+		this.radius = radius;
+	}
+}

src/logic/ScaledHMM.java

@@ -0,0 +1,336 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package logic;
+import java.text.*;
+import java.util.Vector;
+
+/**
+ * This is a Hidden Markov Model implementation which internally provides
+ * the basic algorithms for training and recognition (forward and backward
+ * algorithm). Since a regular Hidden Markov Model doesn't provide a possibility
+ * to train multiple sequences, this implementation has been optimized for this
+ * purposes using some state-of-the-art technologies described in several papers.
+ *
+ * @author Benjamin 'BePo' Poppinga
+ *
+ */
+
+public class ScaledHMM {
+	/** The number of states */
+	private int numStates;
+
+	/** The number of observations */
+	private int sigmaSize;
+
+	/** The initial probabilities for each state: p[state] */
+	public double pi[];
+
+	/** The state change probability to switch from state A to
+	 * state B: a[stateA][stateB] */
+	public double a[][];
+
+	/** The probability to emit symbol S in state A: b[stateA][symbolS] */
+	public double b[][];
+
+	/**
+	 * Initialize the Hidden Markov Model in a left-to-right version.
+	 * 
+	 * @param numStates Number of states
+	 * @param sigmaSize Number of observations
+	 */
+	public ScaledHMM(int numStates, int sigmaSize) {
+		this.numStates = numStates;
+		this.sigmaSize = sigmaSize;
+		pi = new double[numStates];
+		a = new double[numStates][numStates];
+		b = new double[numStates][sigmaSize];
+		this.reset();
+	}
+	
+	/**
+	 * Reset the Hidden Markov Model to the initial left-to-right values.
+	 *
+	 */
+	private void reset() {
+		int jumplimit = 2;
+		
+		// set startup probability
+		pi[0] = 1;
+		for(int i=1; i<numStates; i++) {
+			pi[i] = 0;
+		}
+		
+		/*
+		for(int i=0; i<numStates; i++) {
+			for(int j=0; j<numStates; j++) {
+				a[i][j]=1/numStates;
+			}
+		}
+		*/
+		
+		// set state change probabilities in the left-to-right version
+		// NOTE: i now that this is dirty and very static. :)
+		for(int i=0; i<numStates; i++) {
+			for(int j=0; j<numStates; j++) {
+				if(i==numStates-1 && j==numStates-1) { // last row
+					a[i][j] = 1.0;
+				} else if(i==numStates-2 && j==numStates-2) { // next to last row
+					a[i][j] = 0.5;
+				} else if(i==numStates-2 && j==numStates-1) { // next to last row
+					a[i][j] = 0.5;
+				} else if(i<=j && i>j-jumplimit-1) {
+					a[i][j] = 1.0/(jumplimit+1);
+				} else {
+					a[i][j] = 0.0;
+				}
+			}
+		}
+		
+		
+		// emission probability
+		for(int i=0; i<numStates; i++) {
+			for(int j=0; j<sigmaSize; j++) {
+				b[i][j] = 1.0/(double)sigmaSize;
+			}
+		}
+	}
+
+	/**
+	 * Trains the Hidden Markov Model with multiple sequences.
+	 * This method is normally not known to basic hidden markov
+	 * models, because they usually use the Baum-Welch-Algorithm.
+	 * This method is NOT the traditional Baum-Welch-Algorithm.
+	 * 
+	 * If you want to know in detail how it works please consider
+	 * my Individuelles Projekt paper on the wiigee Homepage. Also
+	 * there exist some english literature on the world wide web.
+	 * Try to search for some papers by Rabiner or have a look at
+	 * Vesa-Matti Mäntylä - "Discrete Hidden Markov Models with
+	 * application to isolated user-dependent hand gesture recognition". 
+	 * 
+	 */
+	public void train(Vector<int[]> trainsequence) {
+
+		double[][] a_new = new double[a.length][a.length];
+		double[][] b_new = new double[b.length][b[0].length];
+		// re calculate state change probability a
+		for(int i=0; i<a.length; i++) {
+			for(int j=0; j<a[i].length; j++) {	
+				double zaehler=0;
+				double nenner=0;
+			
+				for(int k=0; k<trainsequence.size(); k++) {
+					this.reset();
+					int[] sequence = trainsequence.elementAt(k);
+					
+					double[][] fwd = this.forwardProc(sequence);
+					double[][] bwd = this.backwardProc(sequence);
+					double prob = this.getProbability(sequence);
+		
+					double zaehler_innersum=0;
+					double nenner_innersum=0;
+									
+					for(int t=0; t<sequence.length-1; t++) {
+						double scaled_fwd = this.getScaledValue(fwd, fwd, i, t);
+						double scaled_bwd = this.getScaledValue(bwd, fwd, i, t);
+						double scaled_bwd_tp1 = this.getScaledValue(bwd, fwd, i, t+1);
+						double scaling_factor_tp1 = this.getScalingFactor(fwd, t+1);
+						zaehler_innersum+=scaled_fwd*a[i][j]*b[j][sequence[t+1]]*scaled_bwd_tp1*scaling_factor_tp1;
+						nenner_innersum+=scaled_fwd*scaled_bwd;
+						System.out.println("scaled_fwd = "+scaled_fwd);
+						System.out.println("scaled_bwd = "+scaled_bwd);
+						System.out.println("scaling factor = "+scaling_factor_tp1);
+					}
+					zaehler+=zaehler_innersum;
+					nenner+=nenner_innersum;
+				} // k
+		
+				a_new[i][j] = zaehler/nenner;
+			} // j
+		} // i
+		
+		// re calculate emission probability b
+		for(int i=0; i<b.length; i++) { // zustaende
+			for(int j=0; j<b[i].length; j++) {	// symbole
+				double zaehler=0;
+				double nenner=0;
+			
+				for(int k=0; k<trainsequence.size(); k++) {
+					this.reset();
+					int[] sequence = trainsequence.elementAt(k);
+					
+					double[][] fwd = this.forwardProc(sequence);
+					double[][] bwd = this.backwardProc(sequence);
+					double prob = this.getProbability(sequence);
+		
+					double zaehler_innersum=0;
+					double nenner_innersum=0;
+					
+					
+					for(int t=0; t<sequence.length-1; t++) {
+						if(sequence[t]==j) {
+							zaehler_innersum+=fwd[i][t]*bwd[i][t];
+						}
+						nenner_innersum+=fwd[i][t]*bwd[i][t];
+					}
+					zaehler+=(1/prob)*zaehler_innersum;
+					nenner+=(1/prob)*nenner_innersum;
+				} // k
+		
+				b_new[i][j] = zaehler/nenner;
+			} // j
+		} // i
+	
+		this.a=a_new;
+		this.b=b_new;
+	}
+	
+	/**
+	 * Traditional Forward Algorithm.
+	 * 
+	 * @param o the observationsequence O
+	 * @return Array[State][Time] 
+	 * 
+	 */
+	private double[][] forwardProc(int[] o) {
+		double[][] f = new double[numStates][o.length];
+		for (int l = 0; l < f.length; l++) {
+			f[l][0] = pi[l] * b[l][o[0]];
+		}
+		for (int i = 1; i < o.length; i++) {
+			for (int k = 0; k < f.length; k++) {
+				double sum = 0;
+				for (int l = 0; l < numStates; l++) {
+					sum += f[l][i-1] * a[l][k];
+				}
+				f[k][i] = sum * b[k][o[i]];
+			}
+		}
+		return f;
+	}
+	
+	/**
+	 * Returns the probability that a observation sequence O belongs
+	 * to this Hidden Markov Model without using the bayes classifier.
+	 * Internally the well known forward algorithm is used.
+	 * 
+	 * @param o observation sequence
+	 * @return probability that sequence o belongs to this hmm
+	 */
+	public double getProbability(int[] o) {
+		double prob = 0.0;
+		double[][] forward = this.forwardProc(o);
+		//	add probabilities
+		for (int i = 0; i < forward.length; i++) { // for every state
+			prob += forward[i][forward[i].length - 1];
+		}
+		return prob;
+	}
+	
+
+	/**
+	 * Backward algorithm.
+	 * 
+	 * @param o observation sequence o
+	 * @return Array[State][Time]
+	 */
+	public double[][] backwardProc(int[] o) {
+		int T = o.length;
+		double[][] bwd = new double[numStates][T];
+		/* Basisfall */
+		for (int i = 0; i < numStates; i++)
+			bwd[i][T - 1] = 1;
+		/* Induktion */
+		for (int t = T - 2; t >= 0; t--) {
+			for (int i = 0; i < numStates; i++) {
+				bwd[i][t] = 0;
+				for (int j = 0; j < numStates; j++)
+					bwd[i][t] += (bwd[j][t + 1] * a[i][j] * b[j][o[t + 1]]);
+			}
+		}
+		return bwd;
+	}
+
+	// scales a fwd/bwd-procedure at i/t.
+	private double getScaledValue(double[][] pcd, double[][] divisor, int i, int t) {
+		double sum = 0;
+		for(int v=0; v<this.numStates; v++) {
+			sum += divisor[v][t];
+		}
+		return pcd[i][t]/sum;
+	}
+	
+	private double getScalingFactor(double[][] divisor, int t) {
+		double ret = 0;
+		for(int i=0; i<this.numStates; i++) {
+			ret += divisor[i][t];
+		}
+		return 1/ret;
+	}
+
+	/** 
+	 * Prints everything about this model, including
+	 * all values. For debug purposes or if you want
+	 * to comprehend what happend to the model.
+	 * 
+	 */
+	public void print() {
+		DecimalFormat fmt = new DecimalFormat();
+		fmt.setMinimumFractionDigits(5);
+		fmt.setMaximumFractionDigits(5);
+		for (int i = 0; i < numStates; i++)
+			System.out.println("pi(" + i + ") = " + fmt.format(pi[i]));
+		System.out.println();
+		for (int i = 0; i < numStates; i++) {
+			for (int j = 0; j < numStates; j++)
+				System.out.print("a(" + i + "," + j + ") = "
+						+ fmt.format(a[i][j]) + " ");
+			System.out.println();
+		}
+		System.out.println();
+		for (int i = 0; i < numStates; i++) {
+			for (int k = 0; k < sigmaSize; k++)
+				System.out.print("b(" + i + "," + k + ") = "
+						+ fmt.format(b[i][k]) + " ");
+			System.out.println();
+		}
+	}
+
+	public double[][] getA() {
+		return this.a;
+	}
+	
+	public void setA(double[][] a) {
+		this.a = a;
+	}
+	
+	public double[][] getB() {
+		return this.b;
+	}
+	
+	public void setB(double[][] b) {
+		this.b=b;
+	}
+}

src/logic/TriggeredProcessingUnit.java

@@ -0,0 +1,196 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package logic;
+
+import java.util.Vector;
+import event.*;
+
+/**
+ * This class analyzes the WiimoteAccelerationEvents emitted from a Wiimote
+ * and further creates and manages the different models for each type
+ * of gesture. 
+ * 
+ * @author Benjamin 'BePo' Poppinga
+ */
+public class TriggeredProcessingUnit extends ProcessingUnit {
+
+	// gesturespecific values
+	private Gesture current; // current gesture
+
+	private Vector<Gesture> trainsequence;
+	
+	// State variables
+	private boolean learning, analyzing;
+	
+	public TriggeredProcessingUnit() {
+		super();
+		this.learning=false;
+		this.analyzing=false;
+		this.current=new Gesture();
+		this.trainsequence=new Vector<Gesture>();
+	}
+
+	/** 
+	 * Since this class implements the WiimoteListener this procedure is
+	 * necessary. It contains the filtering (directional equivalence filter)
+	 * and adds the incoming data to the current motion, we want to train
+	 * or recognize.
+	 * 
+	 * @param event The acceleration event which has to be processed by the
+	 * directional equivalence filter and which has to be added to the current
+	 * motion in recognition or training process.
+	 */
+	public void accelerationReceived(AccelerationEvent event) {
+		if(this.learning || this.analyzing) {
+			this.current.add(event); // add event to gesture			
+		}		
+	}
+
+	/** 
+	 * This method is from the WiimoteListener interface. A button press
+	 * is used to control the data flow inside the structures. 
+	 * 
+	 */
+	public void buttonPressReceived(ButtonPressedEvent event) {
+		this.handleStartEvent(event);
+	}
+
+	public void buttonReleaseReceived(ButtonReleasedEvent event) {
+		this.handleStopEvent(event);
+	}
+	
+	@Override
+	public void infraredReceived(InfraredEvent event) {
+		// NOTHING TO DO HERE	
+	}
+	
+	public void motionStartReceived(MotionStartEvent event) {
+		this.handleStartEvent(event);
+	}
+	
+	public void motionStopReceived(MotionStopEvent event) {
+		this.handleStopEvent(event);
+	}
+	
+	public void handleStartEvent(ActionStartEvent event) {
+		
+		// TrainButton = record a gesture for learning
+		if((!this.analyzing && !this.learning) && 
+			event.isTrainInitEvent()) {
+			System.out.println("Training started!");
+			this.learning=true;
+			this.fireStateEvent(1);
+		}
+		
+		// RecognitionButton = record a gesture for recognition
+		if((!this.analyzing && !this.learning) && 
+			event.isRecognitionInitEvent()) {
+			System.out.println("Recognition started!");
+			this.analyzing=true;
+			this.fireStateEvent(2);
+		}
+			
+		// CloseGestureButton = starts the training of the model with multiple
+		// recognized gestures, contained in trainsequence
+		if((!this.analyzing && !this.learning) && 
+			event.isCloseGestureInitEvent()) {
+		
+			if(this.trainsequence.size()>0) {
+				System.out.println("Training the model with "+this.trainsequence.size()+" gestures...");
+				this.fireStateEvent(1);
+				this.learning=true;
+				
+				GestureModel m = new GestureModel(this.gesturecount++);
+				m.train(this.trainsequence);
+				m.print();
+				this.classifier.addGestureModel(m);
+				
+				this.trainsequence=new Vector<Gesture>();
+				this.learning=false;
+			} else {
+				System.out.println("There is nothing to do. Please record some gestures first.");
+			}
+		}
+	}
+	
+	public void handleStopEvent(ActionStopEvent event) {
+		if(this.learning) { // button release and state=learning, stops learning
+			if(this.current.getCountOfData()>0) {
+				System.out.println("Finished recording (training)...");
+				System.out.println("Data: "+this.current.getCountOfData());
+				Gesture gesture = new Gesture(this.current);
+				this.trainsequence.add(gesture);
+				this.current=new Gesture();
+				this.learning=false;
+			} else {
+				System.out.println("There is no data.");
+				System.out.println("Please train the gesture again.");
+				this.learning=false; // ?
+			}
+		}
+		
+		else if(this.analyzing) { // button release and state=analyzing, stops analyzing
+			if(this.current.getCountOfData()>0) {
+				System.out.println("Finished recording (recognition)...");
+				System.out.println("Compare gesture with "+this.gesturecount+" other gestures.");
+				Gesture gesture = new Gesture(this.current);
+				
+				int recognized = this.classifier.classifyGesture(gesture);
+				if(recognized!=-1) {
+					double recogprob = this.classifier.getLastProbability();
+					this.fireGestureEvent(recognized, recogprob);
+					System.out.println("######");
+					System.out.println("Gesture No. "+recognized+" recognized: "+recogprob);
+					System.out.println("######");
+				} else {
+					this.fireStateEvent(0);
+					System.out.println("######");
+					System.out.println("No gesture recognized.");
+					System.out.println("######");
+				}
+				
+				this.current=new Gesture();
+				this.analyzing=false;
+			} else {
+				System.out.println("There is no data.");
+				System.out.println("Please recognize the gesture again.");
+				this.analyzing=false; // ?
+			}
+		}
+	}
+
+	@Override
+	public void loadGesture(String name) {
+		this.gesturecount++;
+		GestureModel g = util.FileIO.readFromFile(name);
+		this.classifier.addGestureModel(g);	
+	}
+
+	@Override
+	public void saveGesture(int id, String name) {
+		util.FileIO.writeToFile(this.classifier.getGestureModel(id), name);		
+	}
+
+}

src/util/FileIO.java

@@ -0,0 +1,244 @@
+/*
+ * wiigee - accelerometerbased gesture recognition
+ * Copyright (C) 2007, 2008 Benjamin Poppinga
+ * 
+ * Developed at University of Oldenburg
+ * Contact: benjamin.poppinga@informatik.uni-oldenburg.de
+ *
+ * This file is part of wiigee.
+ *
+ * wiigee is free software; you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation; either version 2 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ * 
+ * You should have received a copy of the GNU Lesser General Public License along
+ * with this program; if not, write to the Free Software Foundation, Inc.,
+ * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+ */
+
+package util;
+
+import java.io.BufferedReader;
+import java.io.BufferedWriter;
+import java.io.FileReader;
+import java.io.FileWriter;
+import java.io.IOException;
+import logic.GestureModel;
+import logic.HMM;
+import logic.Quantizer;
+
+/**
+ * This is a static class to support saving and loading complete gestures. I've
+ * choosen not to use some kind of XML, because the big multidimensional arrays
+ * would cause a huge senseless amount of xml-data. So KISS: Keep It Simple,
+ * Stupid! ;) Comma-separated-vectors with some control data.
+ * 
+ * @author Benjamin 'BePo' Poppinga
+ * 
+ */
+public class FileIO {
+
+	public static void writeToFile(GestureModel m, String name) {
+		try {
+			// initialize file and get values
+			BufferedWriter out = new BufferedWriter(new FileWriter(name+".txt"));
+			int id = m.getId();
+			int numStates = m.getNumStates();
+			int numObservations = m.getNumObservations();
+			double defaultProbability = m.getDefaultProbability();
+			Quantizer quantizer = m.getQuantizer();
+			HMM hmm = m.getHMM();
+			
+			// write to file
+			out.write("# ID:");
+			out.newLine();
+			out.write(Integer.toString(id));
+			out.newLine();
+			
+			out.write("# numStates:");
+			out.newLine();
+			out.write(Integer.toString(numStates));
+			out.newLine();
+			
+			out.write("# numObservations:");
+			out.newLine();
+			out.write(Integer.toString(numObservations));
+			out.newLine();
+			
+			out.write("# defaultProbability:");
+			out.newLine();
+			out.write(Double.toString(defaultProbability));
+			out.newLine();
+			
+			out.write("# Quantizer: Radius");
+			out.newLine();
+			out.write(Double.toString(quantizer.getRadius()));
+			out.newLine();
+			out.write("# Quantizer: MAP");
+			out.newLine();
+			double[][] map = quantizer.getHashMap();
+			for(int v=0; v<map.length; v++) {
+				double[] d = map[v];
+				out.write(Double.toString(d[0])+", "+Double.toString(d[1])+", "+Double.toString(d[2]));
+				out.newLine();
+			}
+			
+			out.write("# HMM: PI");
+			out.newLine();
+			double[] pi = hmm.getPi();
+			for (int i=0; i<numStates; i++) {
+				if(i==numStates-1) {
+					out.write(Double.toString(pi[i]));
+					out.newLine();
+				} else {
+					out.write(Double.toString(pi[i])+", ");
+				}
+			}
+			
+			out.write("# HMM: A");
+			out.newLine();
+			double[][] a = hmm.getA();
+			for(int i=0; i<numStates; i++) {
+				for(int j=0; j<numStates; j++) {
+					if(j==numStates-1) {
+						out.write(Double.toString(a[i][j]));
+						out.newLine();
+					} else {
+						out.write(Double.toString(a[i][j])+", ");
+					}
+				}
+			}
+			
+			out.write("# HMM: B");
+			out.newLine();
+			double[][] b = hmm.getB();
+			for(int i=0; i<numStates; i++) {
+				for(int j=0; j<numObservations; j++) {
+					if(j==numObservations-1) {
+						out.write(Double.toString(b[i][j]));
+						out.newLine();
+					} else {
+						out.write(Double.toString(b[i][j])+", ");
+					}
+				}
+			}
+			
+			out.write("# END");
+			
+			// close file
+			out.flush();
+			out.close();
+		} catch (IOException e) {
+			System.out.println("Error: Write to File!");
+			e.printStackTrace();
+		}
+	}
+
+	public static GestureModel readFromFile(String name) {
+		try {
+			// initialize file and create values
+			BufferedReader in = new BufferedReader(new FileReader(name+".txt"));
+			int id = 0;
+			int numStates = 0;
+			int numObservations = 0;
+			double defaultprobability = 0;
+			double radius = 0;
+			double[][] map = new double[numObservations][3];
+			double[] pi = new double[numStates];
+			double[][] a = new double[numStates][numStates];
+			double[][] b = new double[numStates][numObservations];
+			
+			String line;
+			int position = 0;
+			while(in.ready()) {
+				line = in.readLine();
+				if(!line.startsWith("#")) { // isn't a comment
+					switch (position++) {
+					case 0:
+						id = Integer.parseInt(line);
+						break;
+					case 1:
+						numStates = Integer.parseInt(line);
+						break;
+					case 2:
+						numObservations = Integer.parseInt(line);
+						break;
+					case 3:
+						defaultprobability = Double.parseDouble(line);
+						break;
+					case 4:
+						radius = Double.parseDouble(line);
+						break;
+					case 5:
+						map = new double[numObservations][3];
+						for(int i=0; i<numObservations; i++) {
+							String s[] = line.split(", ");
+							double[] d = new double[] { Double.parseDouble(s[0]),
+														Double.parseDouble(s[1]),
+														Double.parseDouble(s[2]) };
+							map[i] = d;
+							line = in.ready() ? in.readLine() : "";
+						}
+						break;
+					case 6:
+						pi = new double[numStates];
+						String pi_row[] = line.split(", ");
+						for(int i=0; i<numStates; i++) {
+							pi[i] = Double.parseDouble(pi_row[i]);
+						}
+						break;
+					case 7:
+						a = new double[numStates][numStates];
+						for(int i=0; i<numStates; i++) {
+							String a_row[] = line.split(", ");
+							for(int j=0; j<numStates; j++) {
+								a[i][j] = Double.parseDouble(a_row[j]);
+							}
+							line = in.ready() ? in.readLine() : "";
+						}
+						break;
+					case 8:
+						b = new double[numStates][numObservations];
+						for(int i=0; i<numStates; i++) {
+							String b_row[] = line.split(", ");
+							for(int j=0; j<numObservations; j++) {
+								b[i][j] = Double.parseDouble(b_row[j]);
+							}
+							line = in.ready() ? in.readLine() : "";
+						}
+						break;
+					default:
+						System.out.println("SWITCH EMPTY!");
+						break;
+					}
+				}
+			}
+			
+			GestureModel ret = new GestureModel(id);
+			ret.setDefaultProbability(defaultprobability);
+			
+			Quantizer quantizer = new Quantizer(numStates);
+			quantizer.setUpManually(map, radius);
+			ret.setQuantizer(quantizer);
+			
+			HMM hmm = new HMM(numStates, numObservations);
+			hmm.setPi(pi);
+			hmm.setA(a);
+			hmm.setB(b);
+			ret.setHMM(hmm);
+			
+			return ret;
+		} catch (Exception e) {
+			System.out.println("Error: Read from File!");
+			e.printStackTrace();
+		}
+		return null; // bad error case
+	}
+
+}

src/util/Log.java

@@ -0,0 +1,43 @@
+package util;
+
+public class Log {
+
+	public static final int OFF = -1;
+	public static final int NORMAL = 0;
+	public static final int DEBUG = 1;
+	
+	public static final int PRINT = 0;
+	public static final int FILE = 1;
+	
+	public static int level = Log.NORMAL;
+	public static int mode = Log.PRINT;
+	
+	public static void setLevel(int n) {
+		level = n;
+	}
+	
+	public static void write(String s) {
+		write(Log.NORMAL, s, null);
+	}
+	
+	public static void write(String s, Object o) {
+		write(Log.NORMAL, s, o);
+	}
+	
+	public static void write(int n, String s, Object o) {
+		if(level>=n) {
+			if(mode==Log.PRINT) {
+				// console output enabled
+				if(o!=null) {
+					System.out.println(o.getClass()+": "+s);
+				} else {
+					System.out.println(s);
+				}
+			} else if(mode==Log.FILE) {
+				// file output enabled
+				// TODO
+			}
+		}
+	}
+	
+}