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Survey on Various Gesture Recognition Technologies and Techniques

by Noor Adnan Ibraheem, Rafiqul Zaman Khan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 7
Year of Publication: 2012
Authors: Noor Adnan Ibraheem, Rafiqul Zaman Khan
10.5120/7786-0883

Noor Adnan Ibraheem, Rafiqul Zaman Khan . Survey on Various Gesture Recognition Technologies and Techniques. International Journal of Computer Applications. 50, 7 ( July 2012), 38-44. DOI=10.5120/7786-0883

@article{ 10.5120/7786-0883,
author = { Noor Adnan Ibraheem, Rafiqul Zaman Khan },
title = { Survey on Various Gesture Recognition Technologies and Techniques },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 7 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number7/7786-0883/ },
doi = { 10.5120/7786-0883 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:47:42.909199+05:30
%A Noor Adnan Ibraheem
%A Rafiqul Zaman Khan
%T Survey on Various Gesture Recognition Technologies and Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 7
%P 38-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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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Index Terms

Computer Science
Information Sciences

Keywords

Hand Posture Hand Gesture Fuzzy Clustering Artificial Neural Network Hidden Markov Model Orientation Histogram

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