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http://dx.doi.org/10.6109/JKIICE.2009.13.10.2180

Real-time Hand Gesture Recognition System based on Vision for Intelligent Robot Control  

Yang, Tae-Kyu (목원대학교 지능로봇공학과)
Seo, Yong-Ho (남서울대학교 컴퓨터학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.13, no.10, 2009 , pp. 2180-2188 More about this Journal
Abstract
This paper is study on real-time hand gesture recognition system based on vision for intelligent robot control. We are proposed a recognition system using PCA and BP algorithm. Recognition of hand gestures consists of two steps which are preprocessing step using PCA algorithm and classification step using BP algorithm. The PCA algorithm is a technique used to reduce multidimensional data sets to lower dimensions for effective analysis. In our simulation, the PCA is applied to calculate feature projection vectors for the image of a given hand. The BP algorithm is capable of doing parallel distributed processing and expedite processing since it take parallel structure. The BP algorithm recognized in real time hand gestures by self learning of trained eigen hand gesture. The proposed PCA and BP algorithm show improvement on the recognition compared to PCA algorithm.
Keywords
Intelligent Robot; Recognition; PCA; BP algorithm; Neural Network;
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