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

来源：

2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2 | 2008年

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

页码：695 / +

页数：2

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