Design of pre-trained shape memory alloy actuators for finger rehabilitation

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Vellaiyan, Venkatesan, Jeong, Myeongho, Kim, Youngshik, Khan, Abdul Manan, Bijalwan, Vishwanath, Shin, Buhyun and Mohamed, Shuaiby (2025) Design of pre-trained shape memory alloy actuators for finger rehabilitation. Sensors and Actuators A: Physical, 394. ISSN 0924-4247

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Abstract

Soft robotic hand exoskeletons have become a prominent and reliable tool for assisting in rehabilitation training to restore hand motor function. While many soft exoskeletons have been developed in recent decades, there remains a clear need for compact, flexible, and portable solutions suitable for both daily living activities and rehabilitation. The objective of this research is to develop a novel structural design for a soft rehabilitation glove using pre-trained SMA wires to aid in regaining hand and finger motion. We explore various actuator design patterns, including rectangular, outward coil, inward coil, small sinusoidal, large sinusoidal, and butterfly models. The selected actuator design is applied to a prototype glove and experimentally validated on human fingers. The resulting pre-trained SMA-based glove is lightweight, weighing only 15 g, and can produce a maximum force of 15 N.

Item Type: Article
Identifier: 10.1016/j.sna.2025.116838
Keywords: Finger rehabilitation; Soft glove exoskeleton; Shape memory alloy actuator; Pre-training; Design of SMA actuator
Subjects: Construction and engineering > Mechanical, aero and production engineering
Depositing User: Abdul Manan Khan
Date Deposited: 30 Jul 2025 08:09
Last Modified: 30 Jul 2025 08:25
URI: https://repository.uwl.ac.uk/id/eprint/13925

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