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Recognizing samyuktha hand gestures of bharatanatyam using skeleton matching and gradient orientation

Author:

Dr. Srimani, P. K. and Kavitha, S.

Subject Area:

Physical Sciences and Engineering

Abstract:

Hand gesture recognition system can be used for providing the interface between computer and human using hand gestures. The main objective of the present work is to develop algorithms for the recognition of twenty three samyuktha mudras of the bharatanatyam. By employing a pattern recognition technique in which the orientation histogram and silhouette of the different gestures is used as a feature vector for mudra classification and interpolation accurate results are obtained.

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