AD - A 282 845 Hidden Markov Model for Gesture Recognition

Abstract

This report presents a method for developing a gesture-based system using a multi-dimensional hidden Markov model (HMM). Instead of using geometric features, gestures are converted into sequential symbols. HMMs are employed to represent the gestures and their parameters are learned from the training data. Based on "the most likely performance" criterion… (More)

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Cite this paper

@inproceedings{YangADA, title={AD - A 282 845 Hidden Markov Model for Gesture Recognition}, author={Jie Yang and Yangsheng Xu} }