DOI QR코드

DOI QR Code

An Emotion Classification Based on Fuzzy Inference and Color Psychology

  • Son, Chang-Sik (Faculty of Computer & Information Communication Engineering Catholic University of Daegu) ;
  • Chung, Hwan-Mook (Faculty of Computer & Information Communication Engineering Catholic University of Daegu)
  • Published : 2004.06.01

Abstract

It is difficult to understand a person's emotion, since it is subjective and vague. Therefore, we are proposing a method by which will effectively classify human emotions into two types (that is, single emotion and composition emotion). To verify validity of te proposed method, we conducted two experiments based on general inference and $\alpha$-cut, and compared the experimental results. In the first experiment emotions were classified according to fuzzy inference. On the other hand in the second experiment emotions were classified according to $\alpha$-cut. Our experimental results showed that the classification of emotion based on a- cut was more definite that that based on fuzzy inference.

Keywords

References

  1. Chul Min Lee, Shrikanth Narayanan, 'Emotion Recognition Using a Data-Driven Fuzzy Inference System', 8th European Conference on Speech Communication and Technology, 2003
  2. Mitsuru JWATA, Takehisa ONISAWA, 'Linguistic Expressions of Picture Based on Subjective Inference of Picture Information', Proceeding of the IEEE First International Conference on Intelligent Processing Systems, Vol. 1, pp. 26-31, 1997
  3. T. Yanaru, 'An Emotion Processing System Based on Fuzzy Inference and Subjective Observations', 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems, November 20-23, 1995
  4. Hwan-Mook Chung, Principles of Intelligent Infonnation System, 21th century, Korea. 1999
  5. Yeong-Su Park, Symbol of Color, Mind of Color, Sallim, Korea, 2003
  6. Birren Faber, Color Psychology and Color Therapy, Dongguk, Korea, 1990

Cited by

  1. An Emotion Processing Model using Multiple Valued Logic Functions vol.19, pp.1, 2009, https://doi.org/10.5391/JKIIS.2009.19.1.013
  2. An efficient Decision-Making using the extended Fuzzy AHP Method(EFAM) vol.19, pp.6, 2009, https://doi.org/10.5391/JKIIS.2009.19.6.828