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《Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)》 2009-04
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Facial expression recognition based on rough set theory

YANG Yong 1,2,LUO Fei1(1.College of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China;2.School of Information Science and Technology,Southwest Jiaotong University,Chengdu 610031,P.R.China)  
The study of human centered emotion and cognition,including affective computing and emotion recognition,is a hot research topic in artificial intelligence.In this paper,the attribute reduction algorithms were studied based on rough set theory,and it was used for feature selection of a facial emotion recognition system.Important features for emotion recognition were studied based on attribute reduction algorithms.Furthermore,a facial expression recognition method was proposed based on rough set theory plus support vector machine(SVM).Simulation results show that the attribute reduction methods of rough set can find the important features for emotion,and based on these features,the high recognition rate can be gotten.
【Fund】: 国家自然科学基金项目(60773113);; 重庆市自然科学基金项目(CSTC 2007BB2445)资助
【CateGory Index】: TP18;TP391.41
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