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
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;
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
DOI :
10.1109/ISKE.2008.4731019
