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Reseach Article

A Survey on Vision-based Dynamic Gesture Recognition

by Sumpi Saikia, Sarat Saharia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 138 - Number 1
Year of Publication: 2016
Authors: Sumpi Saikia, Sarat Saharia
10.5120/ijca2016908655

Sumpi Saikia, Sarat Saharia . A Survey on Vision-based Dynamic Gesture Recognition. International Journal of Computer Applications. 138, 1 ( March 2016), 19-27. DOI=10.5120/ijca2016908655

@article{ 10.5120/ijca2016908655,
author = { Sumpi Saikia, Sarat Saharia },
title = { A Survey on Vision-based Dynamic Gesture Recognition },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 138 },
number = { 1 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 19-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume138/number1/24343-2016908655/ },
doi = { 10.5120/ijca2016908655 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:31.385675+05:30
%A Sumpi Saikia
%A Sarat Saharia
%T A Survey on Vision-based Dynamic Gesture Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 138
%N 1
%P 19-27
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Gesture is the most primitive way of communication among human being. Today in the era of modern technology gesture recognition influences the world very diversely, from the physically challenged people to robot control to virtual reality environments. Compared to the systems which use extra devices (gloves, sensors), vision-based systems are more user-friendly and simple. Vision-based systems are easy to use, but most difficult to implement. This paper presents a comprehensive survey on the vision-based dynamic gesture recognition approaches, a comparative study on those methods, and find out the issues and challenges in this area.

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Index Terms

Computer Science
Information Sciences

Keywords

Gesture recognition computer vision dynamic gesture recognition full body gesture recognition.