Design and control of an upper arm exoskeleton using Fuzzy logic techniques

Traditional rehabilitation suffers from aplenty downfalls; they are costly and time consuming. Robotic rehabilitation has the potential to be a better substitute. Recent evidence suggests that there is a pressing need to employ the patient muscle effort to control the assistive robot, otherwise the...

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Main Authors: Tageldeen, M.K., Perumal, N., Elamvazuthi, I., Ganesan, T.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20149 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015816654&doi=10.1109%2fROMA.2016.7847838&partnerID=40&md5=5ed6dd43e0ab8e2726d5b9536898021f
http://eprints.utp.edu.my/20149/
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spelling utp-eprints.201492018-04-22T14:43:25Z Design and control of an upper arm exoskeleton using Fuzzy logic techniques Tageldeen, M.K. Perumal, N. Elamvazuthi, I. Ganesan, T. Traditional rehabilitation suffers from aplenty downfalls; they are costly and time consuming. Robotic rehabilitation has the potential to be a better substitute. Recent evidence suggests that there is a pressing need to employ the patient muscle effort to control the assistive robot, otherwise the patient may fully depend on the robot, and this leads to slackness and deteriorated muscle functionalities. The development of a non-invasive human-machine interface is challenging, since surface electromyography (sEMG) electrodes are uncertain and noise; hence a model that considers the uncertainty and noise involved seems important. This study aims to contribute to this growing area of research by exploring and comparing the performance of different Fuzzy logic techniques on the estimation of joint torques from relevant muscles electromyography measurements for the accurate control of rehabilitation exoskeletons. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015816654&doi=10.1109%2fROMA.2016.7847838&partnerID=40&md5=5ed6dd43e0ab8e2726d5b9536898021f Tageldeen, M.K. and Perumal, N. and Elamvazuthi, I. and Ganesan, T. (2017) Design and control of an upper arm exoskeleton using Fuzzy logic techniques. 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 . http://eprints.utp.edu.my/20149/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Traditional rehabilitation suffers from aplenty downfalls; they are costly and time consuming. Robotic rehabilitation has the potential to be a better substitute. Recent evidence suggests that there is a pressing need to employ the patient muscle effort to control the assistive robot, otherwise the patient may fully depend on the robot, and this leads to slackness and deteriorated muscle functionalities. The development of a non-invasive human-machine interface is challenging, since surface electromyography (sEMG) electrodes are uncertain and noise; hence a model that considers the uncertainty and noise involved seems important. This study aims to contribute to this growing area of research by exploring and comparing the performance of different Fuzzy logic techniques on the estimation of joint torques from relevant muscles electromyography measurements for the accurate control of rehabilitation exoskeletons. © 2016 IEEE.
format Article
author Tageldeen, M.K.
Perumal, N.
Elamvazuthi, I.
Ganesan, T.
spellingShingle Tageldeen, M.K.
Perumal, N.
Elamvazuthi, I.
Ganesan, T.
Design and control of an upper arm exoskeleton using Fuzzy logic techniques
author_sort Tageldeen, M.K.
title Design and control of an upper arm exoskeleton using Fuzzy logic techniques
title_short Design and control of an upper arm exoskeleton using Fuzzy logic techniques
title_full Design and control of an upper arm exoskeleton using Fuzzy logic techniques
title_fullStr Design and control of an upper arm exoskeleton using Fuzzy logic techniques
title_full_unstemmed Design and control of an upper arm exoskeleton using Fuzzy logic techniques
title_sort design and control of an upper arm exoskeleton using fuzzy logic techniques
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015816654&doi=10.1109%2fROMA.2016.7847838&partnerID=40&md5=5ed6dd43e0ab8e2726d5b9536898021f
http://eprints.utp.edu.my/20149/
_version_ 1741196325899206656
score 11.62408

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