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Static Hand Gesture Recognition using an Android Device

by Tejashri J. Joshi, Shiva Kumar, N. Z. Tarapore, Vivek Mohile
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 21
Year of Publication: 2015
Authors: Tejashri J. Joshi, Shiva Kumar, N. Z. Tarapore, Vivek Mohile
10.5120/21356-4348

Tejashri J. Joshi, Shiva Kumar, N. Z. Tarapore, Vivek Mohile . Static Hand Gesture Recognition using an Android Device. International Journal of Computer Applications. 120, 21 ( June 2015), 48-53. DOI=10.5120/21356-4348

@article{ 10.5120/21356-4348,
author = { Tejashri J. Joshi, Shiva Kumar, N. Z. Tarapore, Vivek Mohile },
title = { Static Hand Gesture Recognition using an Android Device },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 21 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 48-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number21/21356-4348/ },
doi = { 10.5120/21356-4348 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:51.691416+05:30
%A Tejashri J. Joshi
%A Shiva Kumar
%A N. Z. Tarapore
%A Vivek Mohile
%T Static Hand Gesture Recognition using an Android Device
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 21
%P 48-53
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The need to enhance communication between humans and computers has been instrumental in determining new communication models, and accordingly new ways of interacting with machines. A vision based Hand Gesture Recognition system can be useful to recognize hand gesture in air, with devices like camera equipped smart phones and cameras connected to computers. The fast improvement of smartphones during the last decade has been predominantly determined by interaction and visualization innovations. Despite the fact that touchscreens have significantly enhanced interaction technology, future smartphone clients will request more natural inputs, for example, free-hand association in 3D space. To extract the features of air gesture we used statistical technique which is Principal Component Analysis (PCA). The recognition approach used in this paper is based on Support Vector Machine (SVM). Proposed Hand Gesture System is location and orientation invariant. All the processes to recognize the hand gesture are done on the device. This approach can be easily adapted to a real time system.

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Index Terms

Computer Science
Information Sciences

Keywords

Hand Gesture Recognition Android Principal Component Analysis Support Vector Machine Pattern Recognition Mobile Computer Vision

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