Abstract
This paper describes emotion recognition system based on facial expression. A fully automatic facial expression recognition system is based on three steps: face detection, facial characteristic extraction and facial expression classification. We have developed an anthropometric model to detect facial feature points combined to Shi&Thomasi method. The variations of 21 distances which describe the facial features deformations from the neutral face, were used to coding the facial expression. Classification step is based on SVM method (Support Vector Machine). Experimental results demonstrate that the proposed approach is an effective method to recognize emotions through facial expression with an emotion recognition rate more than90% in real time. This approach is used to control music player based on the variation of the emotional state of the computer user.
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