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Lightweight Soft Robotic Glove with Whole-Hand Finger Motion Tracking for Hand Rehabilitation in Virtual Reality.

Authors :
Li, Fengguan
Chen, Jiahong
Zhou, Zhitao
Xie, Jiefeng
Gao, Zishu
Xiao, Yuxiang
Dai, Pei
Xu, Chanchan
Wang, Xiaojie
Zhou, Yitong
Source :
Biomimetics (2313-7673). Sep2023, Vol. 8 Issue 5, p425. 13p.
Publication Year :
2023

Abstract

Soft robotic gloves have attracted significant interest in hand rehabilitation in the past decade. However, current solutions are still heavy and lack finger-state monitoring and versatile treatment options. To address this, we present a lightweight soft robotic glove actuated by twisted string actuators (TSA) that provides whole-hand finger motion tracking. We have developed a virtual reality environment for hand rehabilitation training, allowing users to interact with various virtual objects. Fifteen small inertial measurement units are placed on the glove to predict finger joint angles and track whole-hand finger motion. We performed TSA experiments to identify design and control rules, by understanding how their response varies with input load and voltages. Grasping experiments were conducted to determine the grasping force and range of motion. Finally, we showcase an application of the rehabilitation glove in a Unity-based VR interface, which can actuate the operator's fingers to grasp different virtual objects. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23137673
Volume :
8
Issue :
5
Database :
Academic Search Index
Journal :
Biomimetics (2313-7673)
Publication Type :
Academic Journal
Accession number :
172393275
Full Text :
https://doi.org/10.3390/biomimetics8050425