Paper Title:
A Robotic Facial Expression Recognition System Using Real-Time Vision System
  Abstract

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 640x480 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.

  Info
Periodical
Key Engineering Materials (Volumes 381-382)
Edited by
Wei Gao, Yasuhiro Takaya, Yongsheng Gao and Michael Krystek
Pages
375-378
DOI
10.4028/www.scientific.net/KEM.381-382.375
Citation
K.T. Song, M.J. Han, F.Y. Chang, S.H. Chang, "A Robotic Facial Expression Recognition System Using Real-Time Vision System ", Key Engineering Materials, Vols. 381-382, pp. 375-378, 2008
Online since
June 2008
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Peng Xia, Wei Dong Hao, Xiao Yu
Abstract:In this paper, a new system of visual detect line robot based on CMOS image sensor was designed. Meanwhile a new technology to detect line...
905
Authors: Bin Yang, Yan Chang Wang, Pei Hong Li, Ji Lin Liu
Abstract:In this paper we present a CCD image sensor system with high dynamic range. This feature is achieved through double analog-to-digital...
2241
Authors: Ying Tong, Kun Wang, Liang Bao Jiao
Chapter 3: Data, Text, Sound, Image, Signal and Video Processing and Technologies
Abstract:Local binary pattern (LBP) descriptor could not efficiently describe the gray change in different directions of facial expressions...
395
Authors: Yao Feng Xue, Hua Li Sun, Ye Duan
Chapter 7: Data, Text, Sound, Image, Signal and Video Processing and Technologies, Data Acquistion, their Applications
Abstract:The Candide face model and the Face Action Coding System (FACS) are introduced in the paper. The relations of the positions of feature points...
666