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