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Gesture Recognition using Hidden Markov Models, Dynamic Time Warping, and Geometric Template Matching
DownloadFall 2013
Gesture recognition is useful in many applications, including human-computer interaction, automated sign language recognition, medical applications, and many more. The main focus of this thesis is to improve the isolated gesture recognition accuracy of Hidden Markov Models (HMMs) and to provide a...
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