Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures using Discrete IOHMM
published: Feb. 25, 2007, recorded: June 2004, views: 3881
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In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs. Blobs are obtained by tracking colored body parts in real-time using the EM algorithm. In most of the studies on hand gestures, only small vocabularies have been used. In this paper, we study the results obtained on a more complex database of mono- and bi-manual gestures. These results are obtain processing algorithm, namely Input/Output Hidden Markov Model (IOHMM), implemented within the framework of an open source machine learning library.
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