Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Dynamic Emotion Classification through Facial Recognition

얼굴 인식을 통한 동적 감정 분류

  • 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)
  • 한우리 (단국대학교 전자공학과) ;
  • 이용환 (단국대학교 응용컴퓨터공학과) ;
  • 박제호 (단국대학교 컴퓨터과학과) ;
  • 김영섭 (단국대학교 전자공학과)
  • Received : 2013.09.03
  • Accepted : 2013.09.23
  • Published : 2013.09.30
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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

References

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