In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs

An in-socket sensory system enables the monitoring of transfemoral amputee movement for a microprocessor-controlled prosthetic leg. User movement recognition from an in-socket sensor allows a powered prosthetic leg to actively mimic healthy ambulation, thereby reducing an amputee's metabolic en...

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Main Authors:	Mohd Yusof, Nur Hidayah, Hamzaid, Nur Azah, Jasni, Farahiyah, Khin, Wee Lai
Format:	Article
Language:	English English English
Published:	SPIE 2019
Subjects:	TJ Mechanical engineering and machinery TJ170 Mechanics applied to machinery. Dynamics
Online Access:	http://irep.iium.edu.my/79692/ http://irep.iium.edu.my/79692/ http://irep.iium.edu.my/79692/ http://irep.iium.edu.my/79692/1/79692_In-socket%20sensory%20system_MYRA.pdf http://irep.iium.edu.my/79692/2/79692_In-socket%20sensory%20system_SCOPUS.pdf http://irep.iium.edu.my/79692/3/79692_In-socket%20sensory%20system_WOS.pdf

id	iium-79692
recordtype	eprints
spelling	iium-796922020-03-20T04:47:41Z http://irep.iium.edu.my/79692/ In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs Mohd Yusof, Nur Hidayah Hamzaid, Nur Azah Jasni, Farahiyah Khin, Wee Lai TJ Mechanical engineering and machinery TJ170 Mechanics applied to machinery. Dynamics An in-socket sensory system enables the monitoring of transfemoral amputee movement for a microprocessor-controlled prosthetic leg. User movement recognition from an in-socket sensor allows a powered prosthetic leg to actively mimic healthy ambulation, thereby reducing an amputee's metabolic energy consumption. This study established an adaptive neurofuzzy inference system (ANFIS)-based control input framework from an in-socket sensor signal for gait phase classification to derive user intention as read by in-socket sensor arrays. Particular gait phase recognition was mapped with the cadence and torque control output of a knee joint actuator. The control input framework was validated with 30 experimental gait samples of the in-socket sensory signal of a transfemoral amputee walking at fluctuating speeds of 0 to 2 km · h- 1. The physical simulation of the controller presented a realistic simulation of the actuated knee joint in terms of a knee mechanism with 95% to 99% accuracy of knee cadence and 80% to 90% accuracy of torque compared with those of normal gait. The ANFIS system successfully detected the seven gait phases based on the amputee's in-socket sensor signals and assigned accurate knee joint torque and cadence values as output. © 2018 SPIE and IS&T. SPIE 2019-03-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/79692/1/79692_In-socket%20sensory%20system_MYRA.pdf application/pdf en http://irep.iium.edu.my/79692/2/79692_In-socket%20sensory%20system_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/79692/3/79692_In-socket%20sensory%20system_WOS.pdf Mohd Yusof, Nur Hidayah and Hamzaid, Nur Azah and Jasni, Farahiyah and Khin, Wee Lai (2019) In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs. Journal of Electronic Imaging, 28 (2). p. 1. ISSN 1017-9909 E-ISSN 1560-229X https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging/volume-28/issue-2/021002/In-socket-sensory-system-with-an-adaptive-neuro-based-fuzzy/10.1117/1.JEI.28.2.021002.short 10.1117/1.JEI.28.2.021002
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TJ Mechanical engineering and machinery TJ170 Mechanics applied to machinery. Dynamics
spellingShingle	TJ Mechanical engineering and machinery TJ170 Mechanics applied to machinery. Dynamics Mohd Yusof, Nur Hidayah Hamzaid, Nur Azah Jasni, Farahiyah Khin, Wee Lai In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs
description	An in-socket sensory system enables the monitoring of transfemoral amputee movement for a microprocessor-controlled prosthetic leg. User movement recognition from an in-socket sensor allows a powered prosthetic leg to actively mimic healthy ambulation, thereby reducing an amputee's metabolic energy consumption. This study established an adaptive neurofuzzy inference system (ANFIS)-based control input framework from an in-socket sensor signal for gait phase classification to derive user intention as read by in-socket sensor arrays. Particular gait phase recognition was mapped with the cadence and torque control output of a knee joint actuator. The control input framework was validated with 30 experimental gait samples of the in-socket sensory signal of a transfemoral amputee walking at fluctuating speeds of 0 to 2 km · h- 1. The physical simulation of the controller presented a realistic simulation of the actuated knee joint in terms of a knee mechanism with 95% to 99% accuracy of knee cadence and 80% to 90% accuracy of torque compared with those of normal gait. The ANFIS system successfully detected the seven gait phases based on the amputee's in-socket sensor signals and assigned accurate knee joint torque and cadence values as output. © 2018 SPIE and IS&T.
format	Article
author	Mohd Yusof, Nur Hidayah Hamzaid, Nur Azah Jasni, Farahiyah Khin, Wee Lai
author_facet	Mohd Yusof, Nur Hidayah Hamzaid, Nur Azah Jasni, Farahiyah Khin, Wee Lai
author_sort	Mohd Yusof, Nur Hidayah
title	In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs
title_short	In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs
title_full	In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs
title_fullStr	In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs
title_full_unstemmed	In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs
title_sort	in-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs
publisher	SPIE
publishDate	2019
url	http://irep.iium.edu.my/79692/ http://irep.iium.edu.my/79692/ http://irep.iium.edu.my/79692/ http://irep.iium.edu.my/79692/1/79692_In-socket%20sensory%20system_MYRA.pdf http://irep.iium.edu.my/79692/2/79692_In-socket%20sensory%20system_SCOPUS.pdf http://irep.iium.edu.my/79692/3/79692_In-socket%20sensory%20system_WOS.pdf
first_indexed	2023-09-18T21:51:41Z
last_indexed	2023-09-18T21:51:41Z
_version_	1777413811621330944

In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs

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