반도체디스플레이기술학회지 (Journal of the Semiconductor & Display Technology)

한국반도체디스플레이기술학회 (The Korean Society Of Semiconductor & Display Technology)
권호 표지

얼굴 인식을 통한 동적 감정 분류

Dynamic Emotion Classification through Facial Recognition

  • 한우리 (단국대학교 전자공학과) ;
  • 이용환 (단국대학교 응용컴퓨터공학과) ;
  • 박제호 (단국대학교 컴퓨터과학과) ;
  • 김영섭 (단국대학교 전자공학과)
  • 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)
  • 투고 : 2013.09.03
  • 심사 : 2013.09.23
  • 발행 : 2013.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드

참고문헌

  1. P.Penver, j. Atick, "Local Feature analysis: ageneral statistical theory for object representation," Network: Computation in Neural Systems, Vol.7, 1996, pp.477-500
  2. Z. Zhang, M. Lyons, M Schuster, S. Akamatsu, "Compartison betwwen geometry based and Gaborwavelets-based facial expression recognition using multi-layer perceptron," Third IEEE international conference on Automatic Face and Gesture Recognition, 1998, pp.454-459.
  3. Doi, M., Sato, K., Chihara, K., A Robust Face Identi cation against Lighting Fluctuation for Lock Control. Proceedings, IEEE International Conference on Automatic Face and Gesture Recognition, pp 42-47, 1998.
  4. Ahonen, T., Hadid A., Pietikainen, M., Face Recognition with Local Binary Patterns. LNCS 2004, Vol. 3021, pp 469-481, 2004
  5. Heisele, B., Serre, T., Poggio, T., A Componentbased Framework for Face Detection and Identification. International Journal of Computer Vision, Vol 74, No. 2, pp 167-181, 2007 https://doi.org/10.1007/s11263-006-0006-z
  6. Shen. L., Bai. L., fairhurst, M., Gabor wavelets and General Discriminant Analysis for face and verification. Image and Vision Computing, Vol. 25, pp 553-563, 2007 https://doi.org/10.1016/j.imavis.2006.05.002
  7. Kwee-go Sim, Kwang-Sub Byun, Chang-Hyun Park, " Emotional Expression System Based on Dynamic Emotion Space", School of Electrical and Electronics Engineering College of Engineering Chung-Ang University, Journal of Fuzzy Logic and intelligent systems, vol. 15, No. 1, pp. 18-23, 2005.11 https://doi.org/10.5391/JKIIS.2005.15.1.018
  8. Eui-Young Cha, Jung-Hwa Lee, Hyun-Jun Park, "Facial Expression Recognition based on AAM using Backpropagation", Dept. of Computer Engineering, Pusan National University, Journal of Korea Multimedia Society, vol. 13, No.1 ,pp227-230, 2010.05
  9. T.F. Cootes, G.J. Edwards, C.J.Taylor, "Active Appearance Models", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.23, No.6, pp.681-685, 2001 https://doi.org/10.1109/34.927467
  10. JAMES M. KELLER, MICHAEL R. GRAY, JAMES A. GIVENS, JR "A Fuzz k-Nearest Neighbor Algorithm" IEEE TRANSACTION ON SYSTEMS, MEN, AND CYBERNETICS, vol. smc-15, no4, pp.581-585, JULY/AUGUST, 1985