F. Ren, N. Nagano, D.B. Bracewell, S. Kuroiwa, T. Tanioka, Z. Zhang (Japan), and C. Zong (PRC)
Affective Computing, Expression Recognition, Emotion Recognition
We focus on human psychological characteristics to de velop general-purpose agents that can recognize human emotion and create machine emotion. In this paper a sys tem for identifying facial expressions by using facial fea tures is presented. The system recognizes 7 facial expres sions. The 7 facial expressions are made up of 6 basic emotional expressions (happiness, sadness, surprise, fear, anger, and dislike) and one non-expression. The Facial Ac tion Coding System (FACS) is used to make the resulting system robust. For identification, the shortest distance be tween the input features and features stored in a dictionary is used. From these facial expressions a user’s intention can be extrapolated and used to improve the human computer interaction experience.
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