How virtual and mechanical coupling impact bimanual tracking
File(s)jn.00057.2022.pdf (1.14 MB)
Published version
Author(s)
Pena-Perez, Nuria
Eden, Jonathan
Ivanova, Ekaterina
Farkhatdinov, Ildar
Burdet, Etienne
Type
Journal Article
Abstract
Bilateral training systems look to promote the paretic hand’s use in individuals with hemiplegia. Although this is normally achieved using mechanical coupling (i.e., a physical connection between the hands), a virtual reality system relying on virtual coupling (i.e., through a shared virtual object) would be simpler to use and prevent slacking. However, it is not clear whether different coupling modes differently impact task performance and effort distribution between the hands. We explored how 18 healthy right-handed participants changed their motor behaviors in response to the uninstructed addition of mechanical coupling, and virtual coupling using a shared cursor mapped to the average hands’ position. In a second experiment, we then studied the impact of connection stiffness on performance, perception, and effort imbalance. The results indicated that both coupling types can induce the hands to actively contribute to the task. However, the task asymmetry introduced by using a cursor mapped to either the left or right hand only modulated the hands’ contribution when not mechanically coupled. The tracking performance was similar for all coupling types, independent of the connection stiffness, although the mechanical coupling was preferred and induced the hands to move with greater correlation. These findings suggest that virtual coupling can induce the hands to actively contribute to a task in healthy participants without hindering their performance. Further investigation on the coupling types’ impact on the performance and hands’ effort distribution in patients with hemiplegia could allow for the design of simpler training systems that promote the affected hand’s use.
Date Issued
2023-01-01
Date Acceptance
2022-11-29
Citation
Journal of Neurophysiology, 2023, 129 (1), pp.102-114
ISSN
0022-3077
Publisher
American Physiological Society
Start Page
102
End Page
114
Journal / Book Title
Journal of Neurophysiology
Volume
129
Issue
1
Copyright Statement
Copyright © 2023 The Authors
Licensed under Creative Commons Attribution CC-BY 4.0. Published by the American Physiological Society.
Licensed under Creative Commons Attribution CC-BY 4.0. Published by the American Physiological Society.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000922653300008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Neurosciences
Physiology
Neurosciences & Neurology
bimanual
coupling
redundancy
visuomotor tracking
INTERLIMB TRANSFER
FEEDBACK-CONTROL
COORDINATION
TASK
MOVEMENTS
ADAPTATION
HANDEDNESS
REDUNDANCY
Publication Status
Published
Date Publish Online
2023-01-05