Hidden-Markov-Models-Based Dynamic Hand Gesture Recognition

This paper is concerned with the recognition of dynamic handgestures. A method based on Hidden Markov Models (HMMs) is presentedfor dynamic gesture trajectory modeling and recognition. Adaboostalgorithm is used to detect the user's hand and a contour-based handtracker is formed combining conden...

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Veröffentlicht in:	Mathematical Problems in Engineering 2012-01, Vol.2012 (2012), p.1926-1936
Hauptverfasser:	Gao, Yong, Cai, Huiwen, Xia, Ming, Wang, Xiaoyan, Cattani, Carlo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Dynamics Feature recognition Gesture recognition Invariants Markov chains Mathematical models On-line systems Recognition Sampling Science Studies Time series Trajectories
Online-Zugang:	Volltext
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