Implementation of fuzzy logic controller for wheelchair motion control based on EOG data
The study of this paper is to implementation the fuzzy logic control designed for wheelchair motion based on the eye movement signals using electrooculograhphy (EOG) technique. This technique is to acquire the eye movement data from a person, for example, tetraplegia. The tetraplegia is paralysis c...
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Trans Tech Publications Ltd., Switzerland
2014
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iium-443632018-01-04T09:21:42Z http://irep.iium.edu.my/44363/ Implementation of fuzzy logic controller for wheelchair motion control based on EOG data Mohd Noor, Nurul Muthmainnah Ahmad, Salmiah TJ212 Control engineering The study of this paper is to implementation the fuzzy logic control designed for wheelchair motion based on the eye movement signals using electrooculograhphy (EOG) technique. This technique is to acquire the eye movement data from a person, for example, tetraplegia. The tetraplegia is paralysis caused by illness or injury to a human that result in the partial or total loss of use of all their limbs and torso. The eye movement data which was obtained can be used as a main communication tool between human and machine. The PD-type fuzzy controller was successfully designed and tested on the wheelchair model, for control the linear motion (focused for forward motion). The wheelchair model was developed using MSC.Visual Nastran 4D. The results obtained show that the PD-type fuzzy logic controller designed has successfully managed to track the input reference for linear motion set by the EOG signal. Trans Tech Publications Ltd., Switzerland 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/44363/1/AMM.661.183.pdf application/pdf en http://irep.iium.edu.my/44363/4/44363_Implementation%20of%20fuzzy%20logic_SCOPUS.pdf Mohd Noor, Nurul Muthmainnah and Ahmad, Salmiah (2014) Implementation of fuzzy logic controller for wheelchair motion control based on EOG data. Applied Mechanics and Materials, 661. pp. 183-189. ISSN 1660-9336 http://www.ttp.net/1660-9336.html 10.4028/www.scientific.net/AMM.661.183 |
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TJ212 Control engineering Mohd Noor, Nurul Muthmainnah Ahmad, Salmiah Implementation of fuzzy logic controller for wheelchair motion control based on EOG data |
description |
The study of this paper is to implementation the fuzzy logic control designed for wheelchair motion based on the eye movement signals using electrooculograhphy (EOG) technique.
This technique is to acquire the eye movement data from a person, for example, tetraplegia. The tetraplegia is paralysis caused by illness or injury to a human that result in the partial or total loss of use of all their limbs and torso. The eye movement data which was obtained can be used as a main communication tool between human and machine. The PD-type fuzzy controller was successfully
designed and tested on the wheelchair model, for control the linear motion (focused for forward motion). The wheelchair model was developed using MSC.Visual Nastran 4D. The results obtained show that the PD-type fuzzy logic controller designed has successfully managed to track the input reference for linear motion set by the EOG signal. |
format |
Article |
author |
Mohd Noor, Nurul Muthmainnah Ahmad, Salmiah |
author_facet |
Mohd Noor, Nurul Muthmainnah Ahmad, Salmiah |
author_sort |
Mohd Noor, Nurul Muthmainnah |
title |
Implementation of fuzzy logic controller for wheelchair motion control based on EOG data |
title_short |
Implementation of fuzzy logic controller for wheelchair motion control based on EOG data |
title_full |
Implementation of fuzzy logic controller for wheelchair motion control based on EOG data |
title_fullStr |
Implementation of fuzzy logic controller for wheelchair motion control based on EOG data |
title_full_unstemmed |
Implementation of fuzzy logic controller for wheelchair motion control based on EOG data |
title_sort |
implementation of fuzzy logic controller for wheelchair motion control based on eog data |
publisher |
Trans Tech Publications Ltd., Switzerland |
publishDate |
2014 |
url |
http://irep.iium.edu.my/44363/ http://irep.iium.edu.my/44363/ http://irep.iium.edu.my/44363/ http://irep.iium.edu.my/44363/1/AMM.661.183.pdf http://irep.iium.edu.my/44363/4/44363_Implementation%20of%20fuzzy%20logic_SCOPUS.pdf |
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2023-09-18T21:03:05Z |
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2023-09-18T21:03:05Z |
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