A Novel Approach of Emotion Recognition based on Selective Ensemble

被引:0
|
作者
Zhu, Zhenguo [1 ]
He, Kun [2 ]
机构
[1] Chongqing Jiaotong Univ, Sch Comp & Informat, Chongqing 400074, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Inst Comp Sci & Technol, Chongqing 400065, Peoples R China
关键词
Affective computing; emotion recognition; support vector machine; ensemble learning; selective ensemble;
D O I
10.1109/ISKE.2008.4731019
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Emotion recognition is an important module in affective computing. It is usually studied based on facial and audio information with methodologies such as ANN, fuzzy set, SVM, HMM, etc. In this paper, a novel approach based on selective ensemble is proposed for emotion recognition. Simulation experiments prove that the proposed method has better performance than the method of single classifier, even better than bagging. In the end, further research works is discussed.
引用
收藏
页码:695 / +
页数:2
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