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=Examples=
 
=Examples=
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Webgazer is an open source library for eye tracking solutions using common webcams. For more detailed information about it, please visit the authors website: https://webgazer.cs.brown.edu, it explains how it can be used in your own application. An example of how Webgazer can be used in your own jsPsych experiment is described below.<br>
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[[Webgazer eye tracking solution implemented as jsPsych plugin.]]
 
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==Webgazer credits:==
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If you use WebGazer.js please cite the following paper (https://jeffhuang.com/Final_WebGazer_IJCAI16.pdf):@inproceedings{papoutsaki2016webgazer,<br>
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author = {Alexandra Papoutsaki and Patsorn Sangkloy and James Laskey and Nediyana Daskalova and Jeff Huang and James Hays},<br>
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title = {WebGazer: Scalable Webcam Eye Tracking Using User Interactions},<br>
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booktitle = {Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI)},<br>
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pages = {3839--3845}, year = {2016}, organization={AAAI}
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==WebGazer download:==
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webgazer.js: https://webgazer.cs.brown.edu
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==WebGazer dependencies:==
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In webgazer.js original web page links were changed to local copies of the models:
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  // const BLAZEFACE_MODEL_URL="https://tfhub.dev/tensorflow/tfjs-model/blazeface/1/default/1";
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      const BLAZEFACE_MODEL_URL="./model/tfjs/blazeface";
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  // const FACEMESH_GRAPHMODEL_PATH = 'https://tfhub.dev/mediapipe/tfjs-model/facemesh/1/default/1';
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      const FACEMESH_GRAPHMODEL_PATH = './model/tfjs/facemesh';
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  models downloaded from:
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      Model BlazeFace: https://tfhub.dev/tensorflow/tfjs-model/blazeface/1/default/1
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      Model FaceMesh: https://tfhub.dev/mediapipe/tfjs-model/facemesh/1/default/1
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Other dependencies:
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localforage: https://raw.githubusercontent.com/localForage/localForage/master/dist/localforage.js<br>
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bootstrap: https://getbootstrap.com/docs/4.3/getting-started/download/<br>
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sweetalert: sweetalert.min.js just copied from webgazer demo because not found here: https://github.com/t4t5/sweetalert<br>
 

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