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Interactive emotion recognition using Support Vector Machine for human-robot interaction

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3 Author(s)
Ching-Chih Tsai ; Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan ; You-Zhu Chen ; Ching-Wen Liao

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.

Published in:

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Date of Conference:

11-14 Oct. 2009