A robotic facial expression recognition system using real-time vision system

被引：0

作者：

Department of Electrical and Control Engineering, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu, 300, Taiwan ^{[1
]}

不详 ^{[2
]}

机构：

[1] Department of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, 300

[2] Mechanical and Systems Research Laboratories, Industrial Technology Research Institute, Chutung, Hsinchu, 310, 195, Chung Hsing Road

来源：

Key Eng Mat | 2008年 / 375-378期

关键词：

DSP-based embedded system; Facial expression; Human-robot interaction; Optical metrology and image processing; Visual tracking;

D O I：

10.4028/www.scientific.net/kem.381-382.375

中图分类号：

学科分类号：

摘要：

The capability of recognizing human facial expression plays an important role in advanced human-robot interaction development. Through recognizing facial expressions, a robot can interact with a user in a more natural and friendly manner. In this paper, we proposed a facial expression recognition system based on an embedded image processing platform to classify different facial expressions on-line in real time. A low-cost embedded vision system has been designed and realized for robotic applications using a CMOS image sensor and digital signal processor (DSP). The current design acquires thirty 640×480 image frames per second (30 fps). The proposed emotion recognition algorithm has been successfully implemented on the real-time vision system. Experimental results on a pet robot show that the robot can interact with a person in a responding manner. The developed image processing platform is effective for accelerating the recognition speed to 25 recognitions per second with an average on-line recognition rate of 74.4% for five facial expressions.

引用

页码：375 / 378

页数：3

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