Development of a model for sEMG based joint-torque estimation using Swarm techniques

Over the years, numerous researchers have explored the relationship between surface electromyography (sEMG) signal with joint torque that would be useful to develop a suitable controller for rehabilitation robot. This research focuses on the transformation of sEMG signal by adopting a mathematical m...

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Main Authors: Nurhanim, K., Elamvazuthi, I., Izhar, L.I., Ganesan, T., Su, S.W.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20153 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015922961&doi=10.1109%2fROMA.2016.7847833&partnerID=40&md5=0e20efc222787d3f690f600731ce8840
http://eprints.utp.edu.my/20153/
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id utp-eprints.20153
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spelling utp-eprints.201532018-04-22T14:43:30Z Development of a model for sEMG based joint-torque estimation using Swarm techniques Nurhanim, K. Elamvazuthi, I. Izhar, L.I. Ganesan, T. Su, S.W. Over the years, numerous researchers have explored the relationship between surface electromyography (sEMG) signal with joint torque that would be useful to develop a suitable controller for rehabilitation robot. This research focuses on the transformation of sEMG signal by adopting a mathematical model to find the estimated joint torque of knee extension. Swarm techniques such as Particle Swarm Optimization (PSO) and Improved Particle Swarm Optimization (IPSO) were adapted to optimize the mathematical model for estimated joint torque. The correlation between the estimated joint torque and actual joint torque were determined by Coefficient of Determination (R2) and fitness value of Sum Squared Error (SSE). The outcome of the research shows that both the PSO and IPSO have yielded promising results. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015922961&doi=10.1109%2fROMA.2016.7847833&partnerID=40&md5=0e20efc222787d3f690f600731ce8840 Nurhanim, K. and Elamvazuthi, I. and Izhar, L.I. and Ganesan, T. and Su, S.W. (2017) Development of a model for sEMG based joint-torque estimation using Swarm techniques. 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 . http://eprints.utp.edu.my/20153/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Over the years, numerous researchers have explored the relationship between surface electromyography (sEMG) signal with joint torque that would be useful to develop a suitable controller for rehabilitation robot. This research focuses on the transformation of sEMG signal by adopting a mathematical model to find the estimated joint torque of knee extension. Swarm techniques such as Particle Swarm Optimization (PSO) and Improved Particle Swarm Optimization (IPSO) were adapted to optimize the mathematical model for estimated joint torque. The correlation between the estimated joint torque and actual joint torque were determined by Coefficient of Determination (R2) and fitness value of Sum Squared Error (SSE). The outcome of the research shows that both the PSO and IPSO have yielded promising results. © 2016 IEEE.
format Article
author Nurhanim, K.
Elamvazuthi, I.
Izhar, L.I.
Ganesan, T.
Su, S.W.
spellingShingle Nurhanim, K.
Elamvazuthi, I.
Izhar, L.I.
Ganesan, T.
Su, S.W.
Development of a model for sEMG based joint-torque estimation using Swarm techniques
author_sort Nurhanim, K.
title Development of a model for sEMG based joint-torque estimation using Swarm techniques
title_short Development of a model for sEMG based joint-torque estimation using Swarm techniques
title_full Development of a model for sEMG based joint-torque estimation using Swarm techniques
title_fullStr Development of a model for sEMG based joint-torque estimation using Swarm techniques
title_full_unstemmed Development of a model for sEMG based joint-torque estimation using Swarm techniques
title_sort development of a model for semg based joint-torque estimation using swarm techniques
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015922961&doi=10.1109%2fROMA.2016.7847833&partnerID=40&md5=0e20efc222787d3f690f600731ce8840
http://eprints.utp.edu.my/20153/
_version_ 1741196326494797824
score 11.62408

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