The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training
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README.md

Facial Expression Recognition

Copyright (C) 2015 Rustem Bekmukhametov

The main purpose of the project is recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training.

The Cohn-Kanade is a data set of face images labeled for 7 expressions/emotions :

  • Anger
  • Contempt
  • Disgust
  • Fear
  • Happiness
  • Sadness
  • Surprise

The solution consists of versatile classifiers including Decision Tree, Random Forests, Support Vector Machines, DT based Binary Classifier, simple hybrid classifier.

Performance results, estimated by cross validation tests:

  • Multi-class Support Vector Machines (radial kernel, kernlab): 97.3% (st. deviation = 0.4%)
  • Multi-class Support Vector Machines (linear kernel, e1071): 96.5%
  • Decision Tree based classifier: 89.63%