├── README.md
├── css
└── bootstrap.min.css
├── index.html
├── js
├── Stats.js
├── clmtrackr.js
├── d3.min.js
├── emotion_classifier.js
├── emotionmodel.js
├── model_pca_20_svm_emotionDetection.js
└── utils.js
└── media
├── icon_angry.png
├── icon_happy.png
├── icon_sad.png
└── icon_surprised.png
/README.md:
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1 | # Emotion_Detection
2 | Emotion detection is an interesting blend of psychology and technology. Though arguably reductive, many facial expression detection tools lump human emotion into 4 main categories: Happy, Surprise ,Sad, Anger. With facial emotion detection, algorithms detect faces within a video, and sense micro expressions by analyzing the relationship between points on the face, based on eye, nose, mouth.
3 |
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/css/bootstrap.min.css:
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1 | /*!
2 | * Bootstrap v2.3.1
3 | *
4 | * Copyright 2012 Twitter, Inc
5 | * Licensed under the Apache License v2.0
6 | * http://www.apache.org/licenses/LICENSE-2.0
7 | *
8 | * Designed and built with all the love in the world @twitter by @mdo and @fat.
9 | */
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/index.html:
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Emotion detection
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