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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Inderscience
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/28360/1/5104376821910001000.pdf http://irep.iium.edu.my/28360/ http://www.inderscience.com/info/inarticle.php?artid=55043 |
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| Summary: | 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. |
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