Powered wheelchair simulator development: implementing combined navigation-reaching tasks with a 3D hand motion controller
Identifieur interne : 000112 ( Main/Exploration ); précédent : 000111; suivant : 000113Powered wheelchair simulator development: implementing combined navigation-reaching tasks with a 3D hand motion controller
Auteurs : Gordon Tao ; Philippe S. ArchambaultSource :
- Journal of NeuroEngineering and Rehabilitation [ 1743-0003 ] ; 2016.
Abstract
Powered wheelchair (PW) training involving combined navigation and reaching is often limited or unfeasible. Virtual reality (VR) simulators offer a feasible alternative for rehabilitation training either at home or in a clinical setting. This study evaluated a low-cost magnetic-based hand motion controller as an interface for reaching tasks within the McGill Immersive Wheelchair (miWe) simulator.
Twelve experienced PW users performed three navigation-reaching tasks in the real world (RW) and in VR: working at a desk, using an elevator, and opening a door. The sense of presence in VR was assessed using the iGroup Presence Questionnaire (IPQ). We determined concordance of task performance in VR with that in the RW. A video task analysis was performed to analyse task behaviours.
Compared to previous miWe data, IPQ scores were greater in the involvement domain (
Task performance showed poorer kinematic performance in VR than RW but similar strategies. Therefore, the reaching component represents a promising addition to the miWe training simulator, though some limitations must be addressed in future development.
Url:
DOI: 10.1186/s12984-016-0112-2
PubMed: 26786110
PubMed Central: 4717555
Affiliations:
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Le document en format XML
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<author><name sortKey="Tao, Gordon" sort="Tao, Gordon" uniqKey="Tao G" first="Gordon" last="Tao">Gordon Tao</name>
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<affiliation><nlm:aff id="Aff2">Interdisciplinary Research Center in Rehabilitation (CRIR), Hôpital Juif de Réadaptation, 3205 Place Alton Goldbloom, Laval, QC H7V 1R2 Canada</nlm:aff>
<wicri:noCountry code="subfield">QC H7V 1R2 Canada</wicri:noCountry>
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<author><name sortKey="Archambault, Philippe S" sort="Archambault, Philippe S" uniqKey="Archambault P" first="Philippe S." last="Archambault">Philippe S. Archambault</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Powered wheelchair simulator development: implementing combined navigation-reaching tasks with a 3D hand motion controller</title>
<author><name sortKey="Tao, Gordon" sort="Tao, Gordon" uniqKey="Tao G" first="Gordon" last="Tao">Gordon Tao</name>
<affiliation><nlm:aff id="Aff1">School of Physical and Occupational Therapy, McGill University, 3654 prom Sir-William-Osler, Montréal, QC H3G 1Y5 Canada</nlm:aff>
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<author><name sortKey="Archambault, Philippe S" sort="Archambault, Philippe S" uniqKey="Archambault P" first="Philippe S." last="Archambault">Philippe S. Archambault</name>
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<series><title level="j">Journal of NeuroEngineering and Rehabilitation</title>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Powered wheelchair (PW) training involving combined navigation and reaching is often limited or unfeasible. Virtual reality (VR) simulators offer a feasible alternative for rehabilitation training either at home or in a clinical setting. This study evaluated a low-cost magnetic-based hand motion controller as an interface for reaching tasks within the McGill Immersive Wheelchair (miWe) simulator.</p>
</sec>
<sec><title>Methods</title>
<p>Twelve experienced PW users performed three navigation-reaching tasks in the real world (RW) and in VR: working at a desk, using an elevator, and opening a door. The sense of presence in VR was assessed using the iGroup Presence Questionnaire (IPQ). We determined concordance of task performance in VR with that in the RW. A video task analysis was performed to analyse task behaviours.</p>
</sec>
<sec><title>Results</title>
<p>Compared to previous miWe data, IPQ scores were greater in the involvement domain (<italic>p</italic>
< 0.05). Task analysis showed most of navigation and reaching behaviours as having moderate to excellent (<italic>K</italic>
> 0.4, Cohen’s Kappa) agreement between the two environments, but greater (<italic>p</italic>
< 0.05) risk of collisions and reaching errors in VR. VR performance demonstrated longer (<italic>p</italic>
< 0.05) task times and more discreet movements for the elevator and desk tasks but not the door task.</p>
</sec>
<sec><title>Conclusions</title>
<p>Task performance showed poorer kinematic performance in VR than RW but similar strategies. Therefore, the reaching component represents a promising addition to the miWe training simulator, though some limitations must be addressed in future development.</p>
</sec>
</div>
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