Glove-Based Virtual Interaction for the Rehabilitation of Hemiparesis Stroke Patient

DOI

10.2991/jrnal.2014.1.2.7How to use a DOI?

Keywords

Dataglove, Virtual Reality (VR), rehabilitation, stroke

Abstract

This paper proposes the rehabilitation of a stroke patient by using dataglove called GloveMAP. GloveMAP is a low cost hand glove developed by using the flexible bending sensor and an accelerometer attached at the position of the fingers and wrist, respectively. In the studies, 22 fundamental movements of arm are evaluated and the results are employed to design the virtual environment. The combination of these fundamental movements focuses on Hemiparesis sufferers which are the most common in the stroke and have the inability to move one side of the body. The experimental results show the preliminary studies to investigate muscle activities. The research outcomes are used to design the rehabilitation based virtual environment (VR).

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Khairunizam Wan
AU  - A.R. Aswad
AU  - Rashidah Suhaimi
AU  - Nazrul H. Adnan
AU  - D. Hazry
AU  - Zuradzman M. Razlan
AU  - A.B. Shahriman
AU  - Mohd Asri Ariffin
AU  - M. Haslina
PY  - 2014
DA  - 2014/09/15
TI  - Glove-Based Virtual Interaction for the Rehabilitation of Hemiparesis Stroke Patient
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 130
EP  - 134
VL  - 1
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2014.1.2.7
DO  - 10.2991/jrnal.2014.1.2.7
ID  - Wan2014
ER  -