A virtual reality system for arm and hand rehabilitation

doi:10.1007/s11465-011-0202-6

Front Mech Eng

2011, Vol. 6

Issue (1) : 23-32 https://doi.org/10.1007/s11465-011-0202-6

RESEARCH ARTICLE

A virtual reality system for arm and hand rehabilitation

Zhiqiang LUO(

), Chee Kian LIM, I-Ming CHEN, Song Huat YEO

School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore

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Abstract

This paper presents a virtual reality (VR) system for upper limb rehabilitation. The system incorporates two motion track components, the Arm Suit and the Smart Glove which are composed of a range of the optical linear encoders (OLE) and the inertial measurement units (IMU), and two interactive practice applications designed for driving users to perform the required functional and non-functional motor recovery tasks. We describe the technique details about the two motion track components and the rational to design two practice applications. The experiment results show that, compared with the marker-based tracking system, the Arm Suit can accurately track the elbow and wrist positions. The repeatability of the Smart Glove on measuring the five fingers’ movement can be satisfied. Given the low cost, high accuracy and easy installation, the system thus promises to be a valuable complement to conventional therapeutic programs offered in rehabilitation clinics and at home.

Keywords motion tracking rehabilitation optical linear encoder (OLE) virtual reality

Corresponding Author(s): LUO Zhiqiang,Email:zqluo@ntu.edu.sg

Issue Date: 05 March 2011

Cite this article:

Zhiqiang LUO,Chee Kian LIM,I-Ming CHEN, et al. A virtual reality system for arm and hand rehabilitation[J]. Front Mech Eng, 2011, 6(1): 23-32.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-011-0202-6
https://academic.hep.com.cn/fme/EN/Y2011/V6/I1/23

Fig.1 The setup of the VR system. Arm Suit is worn on the arm limb, including one data concentrater, two IMUs on both the upper arm and the palm back, respectively, and one OLE around the elbow. Smart Glove is worn on hand. PC runs the application software

Fig.2 The kinematic arm model and locations of two IMU and one OLE on the arm

Fig.3 OLE working principle—conversion of displacement to angle

Fig.4 Trajectories of elbow and wrist joints

Fig.5 Elbow joint angle reconstructed by the OLE and marker-based system measurements

Fig.6 The kinematic model of hand

Fig.7 Multi-point sensing principle

Fig.8 Histogram of averaged range and SD for each subject in each test

Tab.1 ICC of reliability

Fig.9 Scenario of playing piano

Fig.10 Scenario of catching balls

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