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Dance Gesture Recognition: A Survey

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 5
Year of Publication: 2015
Authors:
Mampi Devi
Sarat Saharia
D. K. Bhattacharyya
10.5120/21696-4803

Mampi Devi, Sarat Saharia and D.k.bhattacharyya. Article: Dance Gesture Recognition: A Survey. International Journal of Computer Applications 122(5):19-26, July 2015. Full text available. BibTeX

@article{key:article,
	author = {Mampi Devi and Sarat Saharia and D.k.bhattacharyya},
	title = {Article: Dance Gesture Recognition: A Survey},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {5},
	pages = {19-26},
	month = {July},
	note = {Full text available}
}

Abstract

Gesture recognition means the identification of different expressions of human body parts to express the idea, thoughts and emotion. It is a multi-disciplinary research area. The application areas of gesture recognition have been spreading very rapidly in our real-life activities including dance gesture recognition. Dance gesture recognition means the recognition of meaningful expression from the different dance poses. Today, research on dance gesture recognition receives more and more attention throughout the world. The automated recognition of dance gestures has many applications. The motive behind this survey is to present a comprehensive survey on automated dance gesture recognition with emphasis on static hand gesture recognition. Instead of whole body movement, we consider human hands because human hands are the most flexible part of the body and can transfer the most meaning. A list of research issues and open challenges is also highlighted.

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