Online facial expression recognition based on combining texture and geometric information

Automatic facial expression recognition is a challenging problem in human-computer interaction. In this paper, we develop an online facial expression recognition system based on utilizing texture and motion features extracted from a video. The combination of both types of features capture static and dynamic facial information which enhances the recognition accuracy. In addition, our method is capable of automatically detecting both the onset and the apex of the expression of a face from a video. Our proposed expression recognition system is fully automatic and achieves superior performance compared to other state-of-the-art algorithms.