Interactive emotion recognition using support vector machine for human-robot interaction

Authors:
Ching-Chih Tsai;You-Zhu Chen;Ching-Wen Liao
Affiliations:
Department of Electrical Engineering, National Chung Hsing University, Taiwan, R.O.C.;Department of Electrical Engineering, National Chung Hsing University, Taiwan, R.O.C.;Department of Electrical Engineering, National Chung Hsing University, Taiwan, R.O.C.
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

This paper presents an interactive emotion recognition system using support vector machine for human-robot interaction. The proposed emotion recognition algorithm is composed of Harr wavelet transform, principal component analysis (PCA) method, and support vector machine (SVM). This algorithm is shown effective and useful in achieving both face identification and facial expression recognition. The performance and merit of the proposed methods are exemplified by conducting several experiments on face identification, emotion recognition and interactive scenarios.