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Dynamic Emotion Classification through Facial Recognition  

Han, Wuri (Department of Electronic Engineering, Dankook University)
Lee, Yong-Hwan (Department of Applied Computer Engineering, Dankook University)
Park, Jeho (Department of Computer science Engineering, Dankook University)
Kim, Youngseop (Department of Electronic Engineering, Dankook University)
Publication Information
Journal of the Semiconductor & Display Technology / v.12, no.3, 2013 , pp. 53-57 More about this Journal
Abstract
Human emotions are expressed in various ways. It can be expressed through language, facial expression and gestures. In particular, the facial expression contains many information about human emotion. These vague human emotion appear not in single emotion, but in combination of various emotion. This paper proposes a emotional expression algorithm using Active Appearance Model(AAM) and Fuzz k- Nearest Neighbor which give facial expression in similar with vague human emotion. Applying Mahalanobis distance on the center class, determine inclusion level between center class and each class. Also following inclusion level, appear intensity of emotion. Our emotion recognition system can recognize a complex emotion using Fuzzy k-NN classifier.
Keywords
AAM; k-NN; emotion recognition; facial expression recognition;
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