Analysis of different level of EOG signal from eye movement for wheelchair control

This paper is aimed to analyze different levels of eye movement signals strength using Electrooculography (EOG). The eye movement that is known to be a significant communication tool for a tetraplegia, can be defined as a paralysis that is caused by serious injuries or illness to a human that lea...

Full description

Bibliographic Details
Main Authors:	Mohd Noor, Nurul Muthmainnah, Ahmad, Salmiah
Format:	Article
Language:	English
Published:	Inderscience 2013
Subjects:	TA168 Systems engineering TJ212 Control engineering
Online Access:	http://irep.iium.edu.my/28360/ http://irep.iium.edu.my/28360/ http://irep.iium.edu.my/28360/1/5104376821910001000.pdf

id	iium-28360
recordtype	eprints
spelling	iium-283602014-05-20T01:05:56Z http://irep.iium.edu.my/28360/ Analysis of different level of EOG signal from eye movement for wheelchair control Mohd Noor, Nurul Muthmainnah Ahmad, Salmiah TA168 Systems engineering TJ212 Control engineering This paper is aimed to analyze different levels of eye movement signals strength using Electrooculography (EOG). The eye movement that is known to be a significant communication tool for a tetraplegia, can be defined as a paralysis that is caused by serious injuries or illness to a human that lead to a partial or total loss of their lower limb and torso. A person who has such paralysis is highly dependent on an assistant and a wheelchair for movement. It is not always the case where the helper is with the patient all the time, therefore independence is encouraged among the wheelchair users. The signal from the eye muscles that is called electrooculogram is generated at different eye movements’ directions and levels. The eye movement signals are acquired using g.USBamp from G.TEC Medical Engineering GMBH by using Ag/AgCl electrodes. The data is then passed to MATLAB/SIMULINK software for data analysis. Different directions and strength level of eye movement are fed to a virtual wheelchair model developed in MSC.Visual Nastran 4D software to study the effect of the signals on the distance and rotation travelled by the wheelchair. Simulation exercises has verified that different strength of eye movement signals levels that have been processed could be manipulated for helping tetraplegia in their mobility using the wheelchair. Inderscience 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/28360/1/5104376821910001000.pdf Mohd Noor, Nurul Muthmainnah and Ahmad, Salmiah (2013) Analysis of different level of EOG signal from eye movement for wheelchair control. International Journal of Biomedical Engineering and Technology, 11 (2). pp. 175-196. ISSN 1752-6418 http://www.inderscience.com/info/inarticle.php?artid=55043
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA168 Systems engineering TJ212 Control engineering
spellingShingle	TA168 Systems engineering TJ212 Control engineering Mohd Noor, Nurul Muthmainnah Ahmad, Salmiah Analysis of different level of EOG signal from eye movement for wheelchair control
description	This paper is aimed to analyze different levels of eye movement signals strength using Electrooculography (EOG). The eye movement that is known to be a significant communication tool for a tetraplegia, can be defined as a paralysis that is caused by serious injuries or illness to a human that lead to a partial or total loss of their lower limb and torso. A person who has such paralysis is highly dependent on an assistant and a wheelchair for movement. It is not always the case where the helper is with the patient all the time, therefore independence is encouraged among the wheelchair users. The signal from the eye muscles that is called electrooculogram is generated at different eye movements’ directions and levels. The eye movement signals are acquired using g.USBamp from G.TEC Medical Engineering GMBH by using Ag/AgCl electrodes. The data is then passed to MATLAB/SIMULINK software for data analysis. Different directions and strength level of eye movement are fed to a virtual wheelchair model developed in MSC.Visual Nastran 4D software to study the effect of the signals on the distance and rotation travelled by the wheelchair. Simulation exercises has verified that different strength of eye movement signals levels that have been processed could be manipulated for helping tetraplegia in their mobility using the wheelchair.
format	Article
author	Mohd Noor, Nurul Muthmainnah Ahmad, Salmiah
author_facet	Mohd Noor, Nurul Muthmainnah Ahmad, Salmiah
author_sort	Mohd Noor, Nurul Muthmainnah
title	Analysis of different level of EOG signal from eye movement for wheelchair control
title_short	Analysis of different level of EOG signal from eye movement for wheelchair control
title_full	Analysis of different level of EOG signal from eye movement for wheelchair control
title_fullStr	Analysis of different level of EOG signal from eye movement for wheelchair control
title_full_unstemmed	Analysis of different level of EOG signal from eye movement for wheelchair control
title_sort	analysis of different level of eog signal from eye movement for wheelchair control
publisher	Inderscience
publishDate	2013
url	http://irep.iium.edu.my/28360/ http://irep.iium.edu.my/28360/ http://irep.iium.edu.my/28360/1/5104376821910001000.pdf
first_indexed	2023-09-18T20:41:51Z
last_indexed	2023-09-18T20:41:51Z
_version_	1777409417838329856

Analysis of different level of EOG signal from eye movement for wheelchair control

Similar Items