Automation of the Arabic sign language recognition

M. Mohandes; S. A-Buraiky; T. Halawani; S. Al-Baiyat

Automation of the Arabic sign language recognition

M. Mohandes^*
, S. A-Buraiky
, T. Halawani
, S. Al-Baiyat

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

24 Scopus citations

Abstract

A system to recognize the Arabic sign language using an instrumented glove and a machine learning method is presented. The proposed system consists of a PowerGlove that is connected through the serial port to a workstation running the support vector machine algorithm. The PowerGlove is used to provide the direct interface between the system and the human performing the sign. Support vector machine algorithm is used as a tool for sign classification.

Original language	English
Title of host publication	Proceedings - 2004 Iternational Conference on Information and Communication Technologies
Subtitle of host publication	From Theory to Applications, ICTTA 2004
Pages	479-480
Number of pages	2
State	Published - 2004

Publication series

Name	Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004

ASJC Scopus subject areas

General Engineering

Cite this

Mohandes, M., A-Buraiky, S., Halawani, T., & Al-Baiyat, S. (2004). Automation of the Arabic sign language recognition. In Proceedings - 2004 Iternational Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004 (pp. 479-480). (Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004).

Mohandes, M. ; A-Buraiky, S. ; Halawani, T. et al. / Automation of the Arabic sign language recognition. Proceedings - 2004 Iternational Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004. 2004. pp. 479-480 (Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004).

@inproceedings{fddf7fe0683b4a0792985c4ecdc56866,

title = "Automation of the Arabic sign language recognition",

abstract = "A system to recognize the Arabic sign language using an instrumented glove and a machine learning method is presented. The proposed system consists of a PowerGlove that is connected through the serial port to a workstation running the support vector machine algorithm. The PowerGlove is used to provide the direct interface between the system and the human performing the sign. Support vector machine algorithm is used as a tool for sign classification.",

author = "M. Mohandes and S. A-Buraiky and T. Halawani and S. Al-Baiyat",

year = "2004",

language = "English",

isbn = "0780384822",

series = "Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004",

pages = "479--480",

booktitle = "Proceedings - 2004 Iternational Conference on Information and Communication Technologies",

}

Mohandes, M, A-Buraiky, S, Halawani, T & Al-Baiyat, S 2004, Automation of the Arabic sign language recognition. in Proceedings - 2004 Iternational Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004. Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004, pp. 479-480.

Automation of the Arabic sign language recognition. / Mohandes, M.; A-Buraiky, S.; Halawani, T. et al.
Proceedings - 2004 Iternational Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004. 2004. p. 479-480 (Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automation of the Arabic sign language recognition

AU - Mohandes, M.

AU - A-Buraiky, S.

AU - Halawani, T.

AU - Al-Baiyat, S.

PY - 2004

Y1 - 2004

N2 - A system to recognize the Arabic sign language using an instrumented glove and a machine learning method is presented. The proposed system consists of a PowerGlove that is connected through the serial port to a workstation running the support vector machine algorithm. The PowerGlove is used to provide the direct interface between the system and the human performing the sign. Support vector machine algorithm is used as a tool for sign classification.

AB - A system to recognize the Arabic sign language using an instrumented glove and a machine learning method is presented. The proposed system consists of a PowerGlove that is connected through the serial port to a workstation running the support vector machine algorithm. The PowerGlove is used to provide the direct interface between the system and the human performing the sign. Support vector machine algorithm is used as a tool for sign classification.

UR - https://www.scopus.com/pages/publications/2942630851

M3 - Conference contribution

AN - SCOPUS:2942630851

SN - 0780384822

SN - 9780780384828

T3 - Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004

SP - 479

EP - 480

BT - Proceedings - 2004 Iternational Conference on Information and Communication Technologies

ER -

Mohandes M, A-Buraiky S, Halawani T, Al-Baiyat S. Automation of the Arabic sign language recognition. In Proceedings - 2004 Iternational Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004. 2004. p. 479-480. (Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004).

Automation of the Arabic sign language recognition

Abstract

Publication series

ASJC Scopus subject areas

Fingerprint

Cite this