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Survey on Various Gesture Recognition Technologies and Techniques

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 7
Year of Publication: 2012
Noor Adnan Ibraheem
Rafiqul Zaman Khan

Noor Adnan Ibraheem and Rafiqul Zaman Khan. Article: Survey on Various Gesture Recognition Technologies and Techniques. International Journal of Computer Applications 50(7):38-44, July 2012. Full text available. BibTeX

	author = {Noor Adnan Ibraheem and Rafiqul Zaman Khan},
	title = {Article: Survey on Various Gesture Recognition Technologies and Techniques},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {7},
	pages = {38-44},
	month = {July},
	note = {Full text available}


Gestures considered as the most natural expressive way for communications between human and computers in virtual system. Hand gesture is a method of non-verbal communication for human beings for its freer expressions much more other than body parts. Hand gesture recognition has greater importance in designing an efficient human computer interaction system. Using gestures as a natural interface benefits as a motivation for analyzing, modeling, simulation, and recognition of gestures. In this paper a survey on various recent gesture recognition approaches is provided with particular emphasis on hand gestures. A review of static hand posture methods are explained with different tools and algorithms applied on gesture recognition system, including connectionist models, hidden Markov model, and fuzzy clustering. Challenges and future research directions are also highlighted.


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