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

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	8790/79692
Uncontrolled Keywords:	adaptive neurofuzzy inference system, controller, in-socket sensory system prosthetic knee joint transfemoral leg
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ170 Mechanics applied to machinery. Dynamics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Farahiyah Jasni
Date Deposited:	20 Mar 2020 12:45
Last Modified:	05 Aug 2021 16:23
URI:	http://irep.iium.edu.my/id/eprint/79692

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