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Developing a Multiple-angle Hand Gesture Recognition System for Human Machine Interactions

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2 Author(s)
Yen-Ting Chen ; Mechanical and Systems Research Laboratories, Industrial Technology Research Institute, Chutung, Hsinchu 310, Taiwan. ; Kuo-Tsung Tseng

This article presents a robotic visual system that allows effective recognition of multiple-angle hand gestures in finger guessing games. We shot images of hand gestures at various angles to train support vector machine (SVM) for the construction of a multiple-angle hand gesture recognition system. Our experimental results show that the hand gesture recognition system presented by this article can effectively recognize hand gestures, at over 95%, of different angles and sizes, with different ornaments, and of different skin colors, while recognizing right or left hand gestures, at up to 90% recognition rate.

Published in:

Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE

Date of Conference:

5-8 Nov. 2007