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

Author

Tsai, Ching-Chih ; Chen, You-zhu ; Liao, Ching-Wen

Author_Institution

Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

407

Lastpage

412

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.

Keywords

Haar transforms; emotion recognition; face recognition; human-robot interaction; principal component analysis; support vector machines; wavelet transforms; Harr wavelet transform; PCA method; face identification; facial expression recognition; human-robot interaction; interactive emotion recognition system; principal component analysis; support vector machine; Emotion recognition; Face detection; Face recognition; Humans; Medical robotics; Principal component analysis; Skin; Support vector machine classification; Support vector machines; Wavelet transforms; Harr wavelet transform; emotion; facial expression; human-robot interaction; principal component analysis (PCA); recognition; support vector machine (SVM);

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346180

Filename

5346180