Authors
Khairunizam Wan, A.R. Aswad, Rashidah Suhaimi, Nazrul H. Adnan, D. Hazry,
Zuradzman M. Razlan, A.B. Shahriman, Mohd Asri Ariffin, M. Haslina
Corresponding Author
Khairunizam Wan
Available Online 15 September 2014.
DOI
https://doi.org/10.2991/jrnal.2014.1.2.7
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 ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).