Hidden-Markov-Models-Based Dynamic Hand Gesture Recognition

Hidden-Markov-Models-Based Dynamic Hand Gesture Recognition

This paper is concerned with the recognition of dynamic hand gestures. A method based on Hidden Markov Models (HMMs) is presented for dynamic gesture trajectory modeling and recognition. Adaboost algorithm is used to detect the user's hand and a contour-based hand tracker is formed combining co...

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Bibliographic Details
Main Authors:	Xiaoyan Wang, Ming Xia, Huiwen Cai, Yong Gao, Carlo Cattani
Format:	Article
Language:	English
Published:	Hindawi Limited 2012-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2012/986134

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