Automatic facial emotion recognition

Recognizing human facial expression and emotion by computer is an interesting and challenging prob- lem. In this paper we present a system for recogniz- ing emotions through facial expressions displayed in live video streams and video sequences. The system is based on the Piecewise Bezier Volume Deforma- tion tracker (18) and has been extended with a Haar face detector to initially locate the human face au- tomatically. Our experiments with Naive Bayes and the Tree-Augmented-Naive Bayes (TAN) classifiers in person-dependent and person-independent tests on the Cohn-Kanade database (1) show that good classi- fication results can be obtained for facial expression recognition.