Facial Expression Recognition in Real Time

Automatic recognition of facial expression is a necessary step toward the design of more natural human-computer interaction systems. This work presents an approach for the recognition of facial expressions in real time image sequence or video sequences. The face features are tracked using SDM (Supervised Descent Method) Classification of the expression in the video sequences are performed using a Rule Based and SVM classification methods. For SVM training we used TFEIM (Taiwanese Face Expression Image Database). We tested our approach and achieved good results.