We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Controlling Mouse using Hand Gesture Recognition

by Shivanku Mahna, Ketan Sethi, Sravan Ch
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 5
Year of Publication: 2015
Authors: Shivanku Mahna, Ketan Sethi, Sravan Ch
10.5120/19819-1652

Shivanku Mahna, Ketan Sethi, Sravan Ch . Controlling Mouse using Hand Gesture Recognition. International Journal of Computer Applications. 113, 5 ( March 2015), 1-4. DOI=10.5120/19819-1652

@article{ 10.5120/19819-1652,
author = { Shivanku Mahna, Ketan Sethi, Sravan Ch },
title = { Controlling Mouse using Hand Gesture Recognition },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 5 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number5/19819-1652/ },
doi = { 10.5120/19819-1652 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:07.915679+05:30
%A Shivanku Mahna
%A Ketan Sethi
%A Sravan Ch
%T Controlling Mouse using Hand Gesture Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 5
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Humans communicate with one another not only through their vocal abilities but also through the gestures that they make. A gesture can go a great way in putting through our point and making the other person understand us and computers are no different in this and can be controlled and made to respond to hand gestures using a gesture recognition system. The primary goal of a gesture recognition system is to identify specific human gesture and use the gesture for controlling the device in the manner specified for that gesture in the gesture recognition system. By implementing real time gesture recognition system, a user can control a computer by simply doing gestures in front of the web cam which is attached with the laptop/computer. And to implement this system, we have used real-time hand tracking algorithm, extraction algorithm and feature extraction.

References
  1. Hand gesture recognition using a real-time tracking method and hidden Markov model sq Feng-Sheng Chen, Chih-Ming Fu, National Tsing Hua University, ROC Received 15 January 2001; received in revised form 2 January 2003; accepted 20 March 2003.
  2. The MathWorks, Inc. ), in 'Digital Image Processing Using MATLAB' Second Edition,2009 by Gatesmark, LLC.
  3. Alasdair McAndrew, in 'An Introduction to Digital Image Processing with Matlab, Notes for SCM2511 Image Processing 1', School of Computer Science and Mathematics, Victoria University of Technology
Index Terms

Computer Science
Information Sciences

Keywords

Gesture Recognition System- GRS

Powered by PhDFocusTM