Interactive Emotion Recognition Using Support Vector Machine for Human-Robot Interaction

被引：8

作者：

Tsai, Ching-Chih ^{[1
]}

Chen, You-Zhu ^{[1
]}

Liao, Ching-Wen ^{[1
]}

机构：

[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung 40227, Taiwan

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年

关键词：

emotion; facial expression; human-robot interaction; Harr wavelet transform; principal component analysis (PCA); recognition; support vector machine (SVM);

D O I：

10.1109/ICSMC.2009.5346180

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：407 / 412

页数：6

共 17 条

[1]

ALBIOL A, 2001, OPTIMUM COLOR SPACES, V1, P122

[2] A tutorial on Support Vector Machines for pattern recognition [J].