Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control

Fuzzy logic is widely used in many complex and nonlinear systems for control, system identification and pattern recognition problems. The fuzzy logic controller provides an alternative to the PID controller which is a good tool for control of systems that are difficult to model. In this paper, the f...

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Main Authors:	Mohd. Noor, Nurul Muthmainnah, Ahmad, Salmiah
Format:	Article
Language:	English
Published:	Universiti Teknologi Malaysia 2015
Subjects:	TJ212 Control engineering
Online Access:	http://irep.iium.edu.my/45037/ http://irep.iium.edu.my/45037/ http://irep.iium.edu.my/45037/1/5627-15766-1-SM.pdf

id	iium-45037
recordtype	eprints
spelling	iium-450372016-01-05T08:26:54Z http://irep.iium.edu.my/45037/ Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control Mohd. Noor, Nurul Muthmainnah Ahmad, Salmiah TJ212 Control engineering Fuzzy logic is widely used in many complex and nonlinear systems for control, system identification and pattern recognition problems. The fuzzy logic controller provides an alternative to the PID controller which is a good tool for control of systems that are difficult to model. In this paper, the fuzzy-based classifiers were designed in order to determine the eye movement data. These data were used as an input reference in wheelchair motion control. Then, a set of an appropriate fuzzy classification (FC) was designed based on the numerical data from eye movement data acquisitions that obtained from the electrooculogram (EOG) technique. Each fuzzy rule (FR) for this system is based on the form of IF-THEN rule. Since membership functions (MFs) are generated automatically, the proposed fuzzy learning algorithm can be viewed as a knowledge acquisition tool for classification problems. The experimental results on eye movement data were presented to demonstrate the contribution of the proposed approach for generating MFs using MATLAB simulink for linear motion in forward direction. Universiti Teknologi Malaysia 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/45037/1/5627-15766-1-SM.pdf Mohd. Noor, Nurul Muthmainnah and Ahmad, Salmiah (2015) Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control. Jurnal Teknologi, 76 (8). pp. 71-75. ISSN 2180–3722 (O), 0127–9696 (P) http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/5627
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ212 Control engineering
spellingShingle	TJ212 Control engineering Mohd. Noor, Nurul Muthmainnah Ahmad, Salmiah Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
description	Fuzzy logic is widely used in many complex and nonlinear systems for control, system identification and pattern recognition problems. The fuzzy logic controller provides an alternative to the PID controller which is a good tool for control of systems that are difficult to model. In this paper, the fuzzy-based classifiers were designed in order to determine the eye movement data. These data were used as an input reference in wheelchair motion control. Then, a set of an appropriate fuzzy classification (FC) was designed based on the numerical data from eye movement data acquisitions that obtained from the electrooculogram (EOG) technique. Each fuzzy rule (FR) for this system is based on the form of IF-THEN rule. Since membership functions (MFs) are generated automatically, the proposed fuzzy learning algorithm can be viewed as a knowledge acquisition tool for classification problems. The experimental results on eye movement data were presented to demonstrate the contribution of the proposed approach for generating MFs using MATLAB simulink for linear motion in forward direction.
format	Article
author	Mohd. Noor, Nurul Muthmainnah Ahmad, Salmiah
author_facet	Mohd. Noor, Nurul Muthmainnah Ahmad, Salmiah
author_sort	Mohd. Noor, Nurul Muthmainnah
title	Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
title_short	Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
title_full	Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
title_fullStr	Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
title_full_unstemmed	Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
title_sort	fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
publisher	Universiti Teknologi Malaysia
publishDate	2015
url	http://irep.iium.edu.my/45037/ http://irep.iium.edu.my/45037/ http://irep.iium.edu.my/45037/1/5627-15766-1-SM.pdf
first_indexed	2023-09-18T21:04:03Z
last_indexed	2023-09-18T21:04:03Z
_version_	1777410814505910272

Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control

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