Abstract：Expression recognition is a key issue in natural human-computer interaction. The machine leaning method is most commonly used to recognize expression from face images or image sequences, and good results are acquired. However, expression recognition is considered as a special process of human vision and it may provide a new way to realize emotion recognition in computer by simulating human emotional information process. The expression recognition using extended neural networks is presented. It simulates the structure of emotion-attention circuit in human brain by adding feedback control for attention in hidden layer. The effectiveness of the proposed approach is evaluated on Cohn Kanade expression database, and good results are obtained.
王上飞，薛佳，王煦法. 基于人脑情感注意回路的表情识别*[J]. 模式识别与人工智能, 2008, 21(5): 598-602.
WANG Shang-Fei, XUE Jia, WANG Xu-Fa. Expression Recognition Based on Human Emotion-Attention Circuit. , 2008, 21(5): 598-602.
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2008, Vol. 21 
