add flash version!

README.mdown

@@ -2,10 +2,10 @@ Attention Meter
 ===============
 
 	Attention Meter is able to track multiple person's real-time facial attention.
-	It utilizes OpenCV 2.1 to locate faces and to analyze face movement.
+	It utilizes OpenCV to locate faces and to analyze face movement.
 [![](https://github.com/jackylee0424/Attention-Meter/raw/master/attention.jpg)](https://github.com/jackylee0424/Attention-Meter/raw/master/attention.jpg)
 
-Attention Meter (Python)
+Attention Meter in Python
 ===============
 
 	* Mac Installation:
@@ -17,7 +17,7 @@ Attention Meter (Python)
 	http://br1ckb0x.fancy-bits.net/blog/?page_id=417 for installing OpenCV. 		
 	However, I haven't tried it yet.
 
-	3. For Leopard users, you may install this private framework 
+	3. For Leopard users, you may install this OpenCV 2.1 private framework 
 	http://www.cs.colostate.edu/facerec/algorithms/support/OpenCV2.1_rev3291_MacOS10.6.pkg
 	and try >>> import cv 
 	It worked for me and saved me hours of time. Try it and let me know if 	it still works for you. 
@@ -27,10 +27,17 @@ Attention Meter (Python)
 
 	2. In command line, do > python attention-win.py
 
-Roadmap
+
+Attention Meter in Flash CS5
 ===============
-	* Web-based Attention Meter via Flash (coming soon in 2 weeks)
+	The original inspiration and source code came from http://www.quasimondo.com/archives/000687.php
+	I utilized and modified this code into the web version Attention Meter. 
 
+	Installation:
+	Use Adobe Flash CS5 to open flash-cs5/webcamFace.fla.
+
+Roadmap
+===============
 	* Attention Meter + Video Chat (under development)
 
 	* iOS Attention Meter (under development)

flash-cs5/Face_Attention.as

@@ -0,0 +1 @@
+//// Face_Attention.as//// This is a Flash-based Attention Meter.//// Jackie Lee//// Aug. 10, 2011//// Affective Computing Group// MIT Media Laboratory//// Special Thanks to Hyemian Wang//package {	import flash.media.Video;		import flash.media.Camera;		import flash.utils.Timer;			import flash.events.TimerEvent;		import flash.display.Graphics;		import flash.display.BitmapData;		import flash.display.Bitmap;	import flash.display.Sprite;	import flash.net.*;		public class Face_Attention extends Object{			public var age:int;			public var fwidth:int;			public var fheight:int;			public var xpt:int;			public var ypt:int;			public var life:int;			public var fstate:int;			public var laststate:int;			public var alternations:int;			public var faceStill:int;			public var stills:int;			public var lefts:int;			public var rights:int;			public var ups;			public var downs;			public const FACE_MAX_LIFE = 1;			public const FACE_MAX_MOVEMENT = 20;			public const FACE_MAX_ATTENTION = 10;						public function Face_Attention(age:int, fwidth:int, fheight:int, xpt:int, ypt:int, life:int){				this.age = age;				this.fwidth = fwidth;				this.fheight = fheight;				this.xpt = xpt;				this.ypt = ypt;				this.life = life;							}						public function updateFace(fwidth:int, fheight:int, xpt:int, ypt:int):void{				if (this.age<FACE_MAX_ATTENTION){this.age++;}else{this.age=FACE_MAX_ATTENTION;}				this.fwidth = fwidth;				this.fheight = fheight;				this.xpt = xpt;				this.ypt = ypt;				this.life = 0;			}						private function isTooOld():Boolean{				if (this.life>FACE_MAX_LIFE){return true;}else{return false;}			}						private function updateLife():int{this.life++;return this.life}				}}

flash-cs5/WebcamFaceDetector.as

@@ -0,0 +1 @@
+//// WebcamFaceDetector.as//// This is a Flash-based Attention Meter.//// Jackie Lee//// Aug. 10, 2011//// Affective Computing Group// MIT Media Laboratory//// Special Thanks to Hyemian Wang//package {	import flash.media.Video;		import flash.media.Camera;		import flash.utils.Timer;			import flash.events.TimerEvent;		import flash.display.Graphics;		import flash.display.BitmapData;		import flash.display.Bitmap;	import flash.display.Sprite;	import flash.net.*;				import gs.easing.Cubic;		import gs.TweenLite;	import Face_Attention;		import jp.maaash.ObjectDetection.ObjectDetector;		import jp.maaash.ObjectDetection.ObjectDetectorEvent;		import jp.maaash.ObjectDetection.ObjectDetectorOptions;			public class WebcamFaceDetector extends Sprite {				//How long a rectangle will remain visible after no faces are found		private const __noFaceTimeout : int = 800;				//how often to analyze the webcam image		private const __faceDetectInterval : int = 300; //bigger the slower				//color of the rectangle		private const __rectColor : int = 0xffff00;		private var _detector    :ObjectDetector;		private var _options     :ObjectDetectorOptions;		private var _bmpTarget   :Bitmap;		private var _detectionTimer : Timer;		private var _rects:Array;		private var _rduration:Array; //duration of each rectangles		private var _video : Video;		private var _noFaceTimer : Timer;		public var cameraContainer : Sprite;		private var faceno:int=0;		private var pre_faceno:int=0;		private var trackedFaces:Array; // for Face_Attention class		private var maxfaces:int=10; // max faces in a cam view		var att_line:Sprite = new Sprite(); // draw an attention line		var fupload:Boolean = false;				public function WebcamFaceDetector() {						//Timer for rectangles not being found			_noFaceTimer = new Timer( __noFaceTimeout );			_noFaceTimer.addEventListener( TimerEvent.TIMER , _noFaceTimer_timer);						//Array of reusable rectangles			_rects = new Array( );			_rduration = new Array(); //duration						trackedFaces = new Array(maxfaces); //make a Face_Attention array			for (var i:int = 0; i<maxfaces;i++){				var f:Face_Attention = new Face_Attention(0,0,0,0,0,0);				trackedFaces[i]= f;											}						//timer for how often to detect			_detectionTimer = new Timer( __faceDetectInterval );			_detectionTimer.addEventListener( TimerEvent.TIMER , _detectionTimer_timer);			_detectionTimer.start();						//initalize detector						_initDetector();						//set up camera			_setupCamera();						//set up attention line			addChild(att_line);			att_line.graphics.lineStyle(1,0xFF0000);			att_line.graphics.beginFill(0x000000,0);			att_line.graphics.drawRect(0,0,10,.1);			//hook up detection complete			_detector.addEventListener( ObjectDetectorEvent.DETECTION_COMPLETE , _detection_complete );					}						private function _setupCamera() : void{						var camera : Camera;						var index:int = 0;			for ( var i : int = 0 ; i < Camera.names.length ; i ++ ) {                				if ( Camera.names[ i ] == "USB Video Class Video" ) {					index = i;				}			}						camera  = Camera.getCamera( String( index ) );			camera.setMode(320, 240, 24);            			if (camera != null) {				_video = new Video( camera.width , camera.height );				_video.attachCamera( camera );				addChild( _video );							} else {				trace( "You need a camera." );			}								}		/**		 * Called when No faces are found after __noFaceTimeout time		 */		private function _noFaceTimer_timer (event : TimerEvent) : void {						_noFaceTimer.stop();						for (var i : int = 0; i < _rects.length; i++) {										TweenLite.to( _rects[i] , .5, {						alpha:0,						x:_rects[i].x + _video.x, 						y:_rects[i].y,						ease:Cubic.easeOut						} );									}			faceno=0;		}		/**		 * Creates a rectangle		 */		private function _createRect() : Sprite{			var rectContainer : Sprite = new Sprite();			rectContainer.graphics.lineStyle( 2 , __rectColor , 1 );			rectContainer.graphics.beginFill(0x000000,0);			rectContainer.graphics.drawRect(0, 0, 100, 100);			return rectContainer;		}				/**		 * Evalutates the webcam video for faces on a timer		 */				private function _detectionTimer_timer (event : TimerEvent) : void {			_bmpTarget = new Bitmap( new BitmapData( _video.width, _video.height, false ) );			_bmpTarget.bitmapData.draw( _video );						_detector.detect( _bmpTarget );			pre_faceno = faceno;		}				/**		 * Fired when a detection is complete		 */		private function _detection_complete (event : ObjectDetectorEvent) : void {						//no faces found			if(event.rects.length == 0) return;						//stop the no-face timer and start back up again			_noFaceTimer.stop( );			_noFaceTimer.start();						//loop through faces found						for (var i : int = 0; i < event.rects.length ; i++) {								//create rectangles if needed				if(_rects[i] == null){					_rects[i] = _createRect();					addChild(_rects[i]);				}								//Animate to new size				TweenLite.to( _rects[i] , .5, {					alpha:1,					x:event.rects[i].x*_video.scaleX + _video.x,					y:event.rects[i].y*_video.scaleY,					width:event.rects[i].width*_video.scaleX,					height:event.rects[i].height*_video.scaleY,					ease:Cubic.easeOut					} );				//add to Face_Attention class				if (event.rects[0].x != trackedFaces[0].xpt){					 				}								if (Math.abs((event.rects[0].x-trackedFaces[0].xpt))<trackedFaces[0].FACE_MAX_MOVEMENT){					trackedFaces[0].updateFace(event.rects[0].width, event.rects[0].height, event.rects[0].x, event.rects[0].y);					trace("face0-attention:"+trackedFaces[0].age+"/"+trackedFaces[0].FACE_MAX_ATTENTION);				}else{					var fa:Face_Attention = new Face_Attention(0, event.rects[i].width, event.rects[i].height, event.rects[i].x, event.rects[i].y, 0);					trackedFaces[0]=fa;				}									//Animate att_line to new size				TweenLite.to( att_line , .8, {					alpha:1,					x:trackedFaces[0].xpt+1,					y:trackedFaces[0].ypt-5,					width:1+trackedFaces[0].fwidth*trackedFaces[0].age/trackedFaces[0].FACE_MAX_ATTENTION,					height:1,					ease:Cubic.easeOut					} );							}									if (event.rects.length>0){faceno = event.rects.length;}else{faceno =0;}						//hide the rest of the rectangles			if(event.rects.length < _rects.length){				faceno=0;				for (var j : int = event.rects.length; j < _rects.length; j++) {					TweenLite.to( _rects[j] , .5, {						alpha:0,						x:_rects[j].x,						y:_rects[j].y,						ease:Cubic.easeOut						} );									}			}		}				/**		 * Initializes the detector		 */		private function _initDetector () : void {						_detector = new ObjectDetector;			_detector.options = getDetectorOptions( );			_detector.loadHaarCascades( "face.zip" );					}				/**		 * Gets dector options		 */		private function getDetectorOptions () : ObjectDetectorOptions {						_options = new ObjectDetectorOptions;			_options.min_size = 50;			_options.startx = ObjectDetectorOptions.INVALID_POS;			_options.starty = ObjectDetectorOptions.INVALID_POS;			_options.endx = ObjectDetectorOptions.INVALID_POS;			_options.endy = ObjectDetectorOptions.INVALID_POS;			return _options;					}	}}