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Automation of the Arabic sign language recognition

Mohandes, M. and A-Buraiky, S. and Halawani, T. and Al-Baiyat, S. (2004) Automation of the Arabic sign language recognition. Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International conference, 1.

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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
Date:April 2004
Date Type:Publication
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Mohandes, M. and A-Buraiky, S. and Halawani, T. and Al-Baiyat, S.
ID Code:14711
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:46
Last Modified:12 Apr 2011 13:16

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