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

• 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/79692/19/79692_In-socket%20sensory%20system%20with_article.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; http://irep.iium.edu.my/79692/; 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

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...