Automation of the Arabic sign language recognition

(2004) Automation of the Arabic sign language recognition. Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International conference, 1.

[img]
Preview
PDF
14711_1.pdf

Download (19kB) | Preview
[img] Microsoft Word
14711_2.doc

Download (27kB)

Abstract

This paper introduces a system to recognize the Arabic sign language using an instrumented glove and a machine learning method. Interfaces in sign language systems can be categorized as direct-device or vision-based. The direct-device approach uses measurement devices that are in direct contact with the hand such as instrumented gloves, flexion sensors, styli and position-tracking devices. On the other hand, the vision-based approach captures the movement of the singer's hand using a camera that is sometimes aided by making the signer wear a glove that has painted areas indicating the positions of the fingers or knuckles. The proposed system basically consists of a PowerGlove that is connected through the serial port to a workstation running the support vector machine algorithm. Obtained results are promising even though a simple and cheap glove with limited sensors was utilized.

Item Type: Article
Subjects: Computer
Divisions: College Of Engineering Sciences > Electrical Engineering Dept
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 16:46
Last Modified: 01 Nov 2019 17:07
URI: http://eprints.kfupm.edu.sa/id/eprint/14711