DocumentCode
2084078
Title
A novel approach of emotion recognition based on selective ensemble
Author
Zhu, Zhenguo ; He, Kun
Author_Institution
Sch. of Comput. & Inf., Chongqing Jiaotong Univ., Chongqing, China
Volume
1
fYear
2008
fDate
17-19 Nov. 2008
Firstpage
695
Lastpage
698
Abstract
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.
Keywords
emotion recognition; learning (artificial intelligence); affective computing; emotion recognition; ensemble learning; selective ensemble; Bagging; Boosting; Emotion recognition; Hidden Markov models; Intelligent systems; Knowledge engineering; Machine learning; Pattern recognition; Support vector machine classification; Support vector machines; Affective computing; emotion recognition; ensemble learning; selective ensemble; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-2196-1
Electronic_ISBN
978-1-4244-2197-8
Type
conf
DOI
10.1109/ISKE.2008.4731019
Filename
4731019
Link To Document