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The paper describes a gesture recognition algorithm which can effectively recognize single-hand gestures in real time under complex environment. The system involves a vocabulary of 20 gestures consisted by part of Chinese sign language letter spelling alphabet and digits. A new complexion model has been proposed to extract hand regions under a variety of lighting conditions. Real-time performance is due to a novel combination of voting theory and relief algorithm. This system is used in our mobile robot control project.
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on (Volume:1 )
Date of Conference: 14-16 Aug. 2009