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In this article a hand gesture recognition system that allows interacting with a service robot, in dynamic environments and in real-time, is proposed. The system detects hands and static gestures using cascade of boosted classifiers, and recognize dynamic gestures by computing temporal statistics of the hand’s positions and velocities, and classifying these features using a Bayes classifier. The main...
In this article a robust and real-time dynamic hand gesture recognition system meant to allow a natural interaction with a service robot, in dynamic environments, is proposed. The main novelty of the proposed approach is the use of temporal statistics about the hand's positions and velocities as basic information to recognize the gestures. The use of these features allows carrying out the final recognition...
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