Description: 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.
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FSKD.2009.210.pdf
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