An Emotion Recognition System Based on Rough Set Theory

Authors:
Yong Yang;Guoyin Wang;Peijun Chen
Affiliations:
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065 P.R. China and School of Information Science & Technology, Southwest Jiaotong ...;Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065 P.R. China and School of Information Science & Technology, Southwest Jiaotong ...;School of Information Science & Technology, Southwest Jiaotong University, Chengdu, 610031 P.R. China
Venue:
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Year:
2006

Citing 6
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Abstract

Affective computing is becoming a more and more important topic in intelligent computing technology. Emotion recognition is one of the most important topics in affective computing. It is always performed on face and voice information with such technology as ANN, fuzzy set, SVM, HMM, etc. In this paper, an emotion recognition system based on rough set theory (ERSBRS) is proposed, which take facial features as input data. Our simulation experiment results show that rough set theory and method are effective in emotion recognition, and high recognition rate is resulted.