Cart (Loading....) | Create Account
Close category search window
 

Recognition of Arabic Sign Language (ArSL) using recurrent neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Maraqa, M. ; Dept. of Manage. Inf. Syst., Al-Isra Private Univ., Amman ; Abu-Zaiter, R.

The objective of this paper is to introduce the use of two different recurrent neural networks in human hand gesture recognition for static images. Because neural networks are a promising tool for many human computer interaction applications, this paper focuses on the ability of neural networks to assist in Arabic Sign Language(ArSL) hand gesture recognition. We have introduced the steps of our proposed system and have presented the Elmanpsilas model as a partially recurrent architecture and a fully connected network with recurrent links that is believed to help the network to converge and gain stability, then we have tested it in an experiment held for this; the results of the experiment have showed that the suggested system with the fully recurrent architecture has had a performance with an accuracy rate 95%.

Published in:

Applications of Digital Information and Web Technologies, 2008. ICADIWT 2008. First International Conference on the

Date of Conference:

4-6 Aug. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.