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PennElement_eyetracker.js
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PennElement_eyetracker.js
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// EYETRACKER element
/* $AC$ PennController.newEyeTracker(name) Creates a new EyeTracker element $AC$ */
/* $AC$ PennController.getEyeTracker(name) Retrieves an existing EyeTracker element $AC$ */
window.PennController._AddElementType("EyeTracker", function(PennEngine) {
let tracker;
let initiated = false;
let currentTracker;
let sessionID;
let storePoints = false;
let past50Array = [[], []];
let calibrated = false;
let moveEvent = null;
let clickEvent = null;
let uploadURL = "";
let detectedFace = false;
window.PennController.EyeTrackerURL = url => uploadURL = url; /* $AC$ global.EyeTrackerURL(url) Will send eye-tracking data to specified URL $AC$ */
// GENERIC FUNCTIONS
//
// from https://stackoverflow.com/a/23395136
const beep = new Audio("data:audio/wav;base64,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");
// from https://gist.github.com/revolunet/843889
function lzw_encode(s) {
var dict = {};
var data = (s + "").split("");
var out = [];
var currChar;
var phrase = data[0];
var code = 256;
for (var i=1; i<data.length; i++) {
currChar=data[i];
if (dict[phrase + currChar] != null) {
phrase += currChar;
}
else {
out.push(phrase.length > 1 ? dict[phrase] : phrase.charCodeAt(0));
dict[phrase + currChar] = code;
code++;
phrase=currChar;
}
}
out.push(phrase.length > 1 ? dict[phrase] : phrase.charCodeAt(0));
for (var i=0; i<out.length; i++) {
out[i] = String.fromCharCode(out[i]);
}
return out.join("");
}
// Handler to access the global webgazer object
function getGazer() {
if (window.webgazer && tracker)
return window.webgazer;
PennEngine.debug.error("Tried to access the EyeTracker before it was set.")
}
// Show/Hide the video and the tracking point
function showTracker(show){
show = !(show===false);
getGazer().showFaceFeedbackBox(show);
getGazer().showFaceOverlay(show);
getGazer().showPredictionPoints(show);
getGazer().showVideo(show);
$("#webgazerGazeDot").css('pointer-events', 'none');
}
// Calibration functions from WebGazer's example page
function calculatePrecisionPercentages(precisionPercentages, windowHeight, x50, y50, staringPointX, staringPointY) {
for (n = 0; n < 50; n++) {
// Calculate distance between each prediction and staring point
let xDiff = staringPointX - x50[n];
let yDiff = staringPointY - y50[n];
let distance = Math.sqrt((xDiff * xDiff) + (yDiff * yDiff));
// Calculate precision percentage
let halfWindowHeight = windowHeight / 2;
let precision = 0;
if (distance <= halfWindowHeight)
precision = 100 - (distance / halfWindowHeight * 100);
else
precision = 0;
// Store the precision
precisionPercentages[n] = precision;
}
}
function calculateAverage(precisionPercentages) {
let precision = 0;
for (n = 0; n < 50; n++) {
precision += precisionPercentages[n];
}
precision = precision / 50;
return precision;
}
function calculatePrecision(past50Array) {
let windowHeight = window.innerHeight;
let windowWidth = window.innerWidth;
// Retrieve the last 50 gaze prediction points
let x50 = past50Array[0];
let y50 = past50Array[1];
// Calculate the position of the point the user is staring at
let staringPointX = windowWidth / 2;
let staringPointY = windowHeight / 2;
let precisionPercentages = new Array(50);
calculatePrecisionPercentages(precisionPercentages, windowHeight, x50, y50, staringPointX, staringPointY);
let precision = calculateAverage(precisionPercentages);
// Return the precision measurement as a rounded percentage
return Math.round(precision);
};
// Shows a calibration screen
function calibrate(resolve, element, threshold, remainingAttempts){
// Start training the model
getGazer().addMouseEventListeners(); // Retrieve moveEvent
PennEngine.debug.log("Starting calibration");
past50Array = [[], []]; // To keep track of 50 last looks
let calibrationDiv = $("<div>").css({
position: 'absolute', left: 0, top: 0, width: "100vw", height: "100vh",
'background-color': 'white', 'text-align': 'center'
});
// Will print a dot in the middle of the screen
let startCalculation = async()=>{
await new Promise(r=>setTimeout(r,1000));
const dot = $("<div>").css({position:'fixed',display: 'block',width:'48px',height:'48px',background:'green',
'border-radius':'100%',left:'calc(50vw - 24px)',top:'calc(50vh - 24px)','z-index': 999999});
$("body").append(dot);
clickEvent({clientX: window.innerWidth/2, clientY: window.innerHeight/2});
// Launches calculation per se
$(this).attr('disabled', true);
storePoints = true;
setTimeout(()=>{
storePoints = false;
dot.detach();
let precision = calculatePrecision(past50Array);
element._precision = precision;
PennEngine.debug.log("Tracker's precision: "+precision);
past50Array = [[],[]];
PennEngine.controllers.running.save(element.type, element.id, "calibration", precision,
Date.now(), (remainingAttempts==1?"Last attempt":"NULL"));
if (threshold && Number(threshold)>0 && precision < threshold && remainingAttempts != 1){
calibrated = false;
$(this).remove();
showTracker(true);
calibrationDiv.append(
$("<div>").html("<p>It looks like we were not able to precisely calibrate the tracker:</p>"+
"<p>You calibration score is "+precision+" and you need at least "+threshold+"</p>"+
"<p>Here are a few tips to help you better self-calibrate:</p>"+
"<p>- try adjusting your webcam based on the video in the top-left corner.</p>"+
"<p>- if you use an external webcam, make sure it is fixed to the top of your screen.</p>"+
"<p>- try raising your screen so as to align your webcam with your eyes</p>"+
"<p><img style='display: inline-block; height: 75px;' src='http://files.lab.florianschwarz.net/ibexfiles/Pictures/lookdown.png'>"+
"<img style='display: inline-block; height: 75px;' src='http://files.lab.florianschwarz.net/ibexfiles/Pictures/lookstraight.png'></p>"+
"<p>- make sure no one is standing next to you.</p>"+
"<p>- make sure you are not wearing eyeglasses reflecting ambiant light.</p>"+
"<p>- make sure the algorithm detects your face (it should appear green).</p>"+
"<p>- make sure there is enough ambient light for face-detection.</p>"+
"<p>- make sure you follow your mouse pointer with your eyes.</p>"+
"<p>- make sure you keep looking at the middle button until the end.</p>")
.css({margin: 'auto', 'margin-top': '5em'})
).append(
// Retry button
$("<button>Retry</button>").click(function(){
calibrationDiv.remove();
// Reset the model (forget previous estimations)
window.webgazer.reg.RidgeWeightedReg.call(window.webgazer.getRegression()[0]);
calibrate(resolve, element, threshold, remainingAttempts-1);
}).css('margin','auto')
);
}
// Threshold met: tracker is calibrated OR no attempts left
else {
calibrated = true;
calibrationDiv.remove();
// showTracker(false);
// Do not train the model on actual trials (too much on screen)
getGazer().removeMouseEventListeners();
resolve();
}
}, 3000); // 3s for calculation
};
// If not calibrated yet, print 'Start calibration'
if (!calibrated){
showTracker(true);
const width = 48, height = 48;
const stay_cycles = 120;
let points = [];
const nextDot = async timestamp=>{
const position = points.shift();
const dot = $("<div>").css({
position:'fixed',
display: 'block',
width:width+'px',
height:height+'px',
background:'green',
'border-radius':'100%',
left: position[0],
top: position[1],
'z-index': 999999
});
await new Promise(r=>setTimeout(r,750));
$("body").append(dot);
beep.play();
await new Promise(r=>setTimeout(r,250));
let remaining_cycles = stay_cycles;
const trainDot = ()=> {
if (remaining_cycles%2) // Click ever other cycle
clickEvent({clientX:position[0]+width/2,clientY:position[1]+height/2});
if (remaining_cycles==0){
dot.detach();
if (points.length)
nextDot();
else
startCalculation();
}
else{
remaining_cycles--;
window.requestAnimationFrame(trainDot);
}
}
trainDot();
}
const printStartButton = ()=>$("body").append(
$("<button>I'm ready. Start calibration</button>").bind('click',e=>{
getGazer().removeMouseEventListeners(); // Will manually call moveEvent
showTracker(false);
$(e.target).detach();
const wwidth = window.innerWidth, wheight = window.innerHeight;
points = [
[(wwidth-width)/2,(wheight-height)/2], // middle center
...[
[0,0], // top left
[(wwidth-width)/2,0], // top center
[wwidth-width,wheight-height], // bottom right
[(wwidth-width)/2,wheight-height], // bottom center
[wwidth-width,(wheight-height)/2], // middle right
[wwidth-width,0], // top right
[0,(wheight-height)/2], // middle left
[0,wheight-height], // bottom left
].sort(v=>0.5-Math.random())
,
[(wwidth-width)/2,(wheight-height)/2] // middle center (again)
];
nextDot();
}).css({position:'fixed',display:'block',left:'50vw',top:'50vh',transform:'translate(-50%,-50%)'})
);
if (detectedFace) printStartButton();
else{
const waitmessage = $("<p>Wait until your face is detected (you should see green contours around it)\
and then click anywhere on the page until you see a red dot</p>");
waitmessage.css({position:'fixed',left:'50vw',top:'50vh',transform:'translate(-50%,-50%)'});
$("body").append(waitmessage);
const gotRedDot = ()=>{
if (detectedFace) {
waitmessage.remove();
printStartButton();
}
else
window.requestAnimationFrame(gotRedDot);
}
gotRedDot();
}
}
else
startCalculation();
// Make sure the video appears over our div
$("#webgazerVideoFeed").before(calibrationDiv);
}
const parseData = (data,clock) => {
detectedFace = true;
if (storePoints){
past50Array[0].push(data.x);
past50Array[1].push(data.y);
if (past50Array[0].length>50)
past50Array[0].shift();
if (past50Array[1].length>50)
past50Array[1].shift();
}
if (currentTracker)
currentTracker.look(data,clock);
}
// (Re)set the tracker and its regression model
let resetTracker = function(){
past50Array = [[],[]];
tracker = window.webgazer.setRegression('weightedRidge')
.setTracker('TFFacemesh')
.setGazeListener((data, clock) => {
if (data == null) return;
else if (data instanceof Promise) data.then( d=>parseData(d,clock) );
else if (data.x) parseData(data,clock);
});
let oldAME = document.addEventListener; // Catch the mousemove function
document.addEventListener = function(...args){ // NOW!
if (args[0]=="mousemove"&&typeof(args[1])=="function"&&args[2]===true&&!moveEvent)
moveEvent = args[1];
if (args[0]=="click"&&typeof(args[1])=="function"&&args[2]===true&&!clickEvent)
clickEvent = args[1];
oldAME.apply(document, args);
};
tracker.params.showVideoPreview = true;
tracker.begin();
window.webgazer.showPredictionPoints(true);
showTracker(false);
}
// ELEMENT
//
let initiate = function(){
sessionID = PennEngine.utils.guidGenerator();
initiated = true;
let webgazer = document.createElement('script');
webgazer.setAttribute('src','https://cdn.jsdelivr.net/gh/penncontroller/penncontroller/releases/latest/webgazer.min.js');
document.head.appendChild(webgazer);
let checkIfReady = () => {
if (window.webgazer) {
resetTracker();
} else {
setTimeout(checkIfReady, 100);
}
}
if (tracker===undefined)
checkIfReady();
}
this.immediate = function(id, span, proportion){
if (!initiated)
initiate();
if (typeof(id)=="number" && (span===undefined||(typeof(span)=="number"&&proportion===undefined))){
proportion = span;
span = id;
if (id===undefined||typeof(id)!="string"||id.length==0)
id = "EyeTracker";
this.id = id;
}
this.span = Number(span);
this.proportion = proportion;
};
this.uponCreation = function(resolve){
this.enabled = false;
this.elements = [];
this.counts = {times: []};
this.callback = null;
this.log = false;
this.trainOnMouseMove = true;
let previousClock;
// Called every few ms (varies w/ performance) when EyeTracker started
this.look = function (data,clock) {
if (!this.enabled || data==null || data.x===undefined || data.y===undefined)
return;
this.elements.map(el=>el.jQueryElement.removeClass("PennController-eyetracked"));
// Check every element
for (let e = 0; e < this.elements.length; e++){
const element = this.elements[e].jQueryElement,
within = PennEngine.utils.overToScale.call(element,data.x,data.y);
if (within)
this.counts['_'+this.elements[e].id].push(1);
else
this.counts['_'+this.elements[e].id].push(0);
// Span-based triggering: check proportion of gazes over SPAN cycles
if (!isNaN(this.span)){
// GAZES stores looks (true vs false) to each element over SPAN cycles
if (!this.hasOwnProperty('gazes') || this.elements.length != this.gazes.length)
this.gazes = this.elements.map(()=>[]);
if (within)
this.gazes[e].push(true);
else
this.gazes[e].push(false);
if (this.gazes[e].length>this.span)
this.gazes[e].shift()
let proportion = Number(this.proportion);
if (isNaN(proportion))
proportion = this.span/100;
if (proportion <= 0)
proportion = 0.01;
else if (proportion >= 1)
proportion = 0.99;
if (this.gazes[e].filter(e=>e).length/this.gazes[e].length>proportion)
element.addClass("PennController-eyetracked");
// If there is a callback function
if (this.callback && this.callback instanceof Function)
this.callback.call(this.elements[e], data.x, data.y);
}
// Else, each cycle counts
else if (within){
element.addClass("PennController-eyetracked");
// If there is a callback function
if (this.callback && this.callback instanceof Function)
this.callback.call(this.elements[e], data.x, data.y);
}
}
// Keep track of cycles' timestamps (relative for shorter encoding)
if (previousClock === undefined)
previousClock = clock;
this.counts.times.push(Math.round(clock - previousClock));
previousClock = clock;
};
resolve();
};
this.end = function(){
showTracker(false);
getGazer().removeMouseEventListeners();
this.enabled = false;
currentTracker = undefined;
if (this.log && this.counts.times.length){
let url = uploadURL;
let expName = window.location.href.replace(/[^/]+$/,'')
.replace(/[^\w\d]/g,'')
.replace(/[\.]{2,}/g,'');
PennEngine.debug.log("expname", expName);
let sendLine = (parameter, value) => {
let data = {
'experiment': expName,
'id': sessionID,
'pcnumber': PennEngine.controllers.running.id,
'parameter': parameter,
'value': value
};
let fd = "json="+JSON.stringify(data);
var xhr = new XMLHttpRequest(); // XMLHttpRequest rather than jQuery's Ajax (mysterious CORS problems with jQuery 1.8)
xhr.open('POST', url, true);
xhr.setRequestHeader("Content-Type", "application/x-www-form-urlencoded");
xhr.onreadystatechange = ()=>{
if (xhr.status != 200)
PennEngine.controllers.running.save(this.type, this.id, "Upload", "Error", Date.now(), parameter);
};
xhr.send(fd);
}
PennEngine.debug.log("about to send times", this.counts);
sendLine('times', lzw_encode(this.counts.times.join('.')));
delete this.counts.times;
let keys = Object.keys(this.counts);
for (let k = 0; k < keys.length; k++){
sendLine(keys[k], lzw_encode(this.counts[keys[k]].join('.')));
}
PennEngine.controllers.running.save(this.type, this.id, "Filename", expName+'/'+sessionID, Date.now(), "NULL");
}
delete this.counts;
};
this.value = function(){
return 'EyeTracker';
};
this.actions = {
calibrate(resolve, threshold, attempts){ /* $AC$ EyeTracker PElement.calibrate(threshold,attempts) Starts a sequence of calibration $AC$ */
if (!(Number(attempts)>0))
attempts = -1;
calibrate(resolve, this, threshold, attempts);
},
hideFeedback: function(resolve){ /* $AC$ EyeTracker PElement.hideFeedback() Hides the red dot estimating the position of the eyes on the page $AC$ */
showTracker(false);
resolve();
},
start: function(resolve){ /* $AC$ EyeTracker PElement.start() Starts parsing eye movements $AC$ */
this.enabled = true;
currentTracker = this;
resolve();
},
stop: function(resolve){ /* $AC$ EyeTracker PElement.stop() Stops parsing eye movements $AC$ */
this.enabled = false;
currentTracker = undefined;
resolve();
},
stopTraining: function(resolve){ /* $AC$ EyeTracker PElement.stopTraining() Stop training the model whenever the mouse moves or clicks $AC$ */
getGazer().removeMouseEventListeners();
getGazer().showPredictionPoints(false);
resolve();
},
showFeedback: function(resolve){ /* $AC$ EyeTracker PElement.showFeedback() Shows the red dot estimating the position of the eyes on the page $AC$ */
showTracker();
resolve();
},
train: function(resolve, showDot){ /* $AC$ EyeTracker PElement.train() Starts training the model on every click and mouse movement (default) $AC$ */
getGazer().addMouseEventListeners();
if (!this.trainOnMouseMove)
document.removeEventListener("mousemove", moveEvent, true);
getGazer().showPredictionPoints(showDot);
resolve();
}
}
this.settings = {
add: function(resolve, ...elements){ /* $AC$ EyeTracker PElement.add(elements) Adds one or more elements of interest to the EyeTracker $AC$ */
for (let e = 0; e < elements.length; e++){
let element = elements[e];
if (element && element._element && this.elements.indexOf(element._element)<0){
this.elements.push(element._element);
this.counts['_'+element._element.id] = [];
}
}
resolve();
},
callback: function(resolve, func){ /* $AC$ EyeTracker PElement.callback(function) Runs the specified javascript function whenever the eyes look at an element of interest $AC$ */
if (func instanceof Function)
this.callback = func;
resolve();
},
log: function(resolve){ /* $AC$ EyeTracker PElement.log() Logs the X and Y positions of the eyes every N milliseconds (see documentation) $AC$ */
this.log = true;
resolve();
},
trainOnMouseMove: function(resolve, yesNo){ /* $AC$ EyeTracker PElement.trainOnMouseMove(true) Tells the model whether to use mouse movements to improve its estimations $AC$ */
this.trainOnMouseMove = yesNo===undefined||yesNo;
if (!this.trainOnMouseMove)
document.removeEventListener("mousemove", moveEvent, true);
resolve();
}
}
this.test = {
calibrated: function(){
return calibrated;
},
ready: function(){
return window.webgazer && window.webgazer.isReady();
},
score : function(arg){
const s = this._precision;
if (arg instanceof Function)
return arg.call(this, s);
else if (!isNaN(Number(arg)))
return s >= Number(arg);
else
return calibrated;
}
}
});