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Multisensory cues facilitate coordination of stepping movements with a virtual reality avatar
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Khan, Omar, Ahmed, Imran, Cottingham, Joshua, Rahhal, Musa, Arvanitis, Theodoros N. and Elliott, Mark T. (2019) Multisensory cues facilitate coordination of stepping movements with a virtual reality avatar. (Submitted)
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WRAP-multsensory-cues-facilitate-stopping-movements-virtual-Elliott-2019.pdf - Submitted Version - Requires a PDF viewer. Download (2495Kb) | Preview |
Abstract
The effectiveness of simple sensory cues for retraining gait have been demonstrated, yet the feasibility of humanoid avatars for entrainment have yet to be investigated. Here, we describe the development of a novel method of visually cued training, in the form of a virtual partner, and investigate its ability to provide movement guidance in the form of stepping. Real stepping movements were mapped onto an avatar using motion capture data. The trajectory of one of the avatar step cycles was then accelerated or decelerated by 15% to create a perturbation. Healthy participants were motion captured while instructed to step in time to the avatar's movements, as viewed through a virtual reality headset. Step onset times were used to measure the timing errors (asynchronies) between them. Participants completed either a visual-only condition, or auditory-visual with footstep sounds included. Participants' asynchronies exhibited slow drift in the Visual-Only condition, but became stable in the Auditory-Visual condition. Moreover, we observed a clear corrective response to the phase perturbation in both auditory-visual conditions. We conclude that an avatar's movements can be used to influence a person's own gait, but should include relevant auditory cues congruent with the movement to ensure a suitable accuracy is achieved.
Item Type: | Submitted Journal Article | ||||
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Subjects: | Q Science > Q Science (General) Q Science > QP Physiology T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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Library of Congress Subject Headings (LCSH): | Sensor networks , Detectors, Avatars (Virtual reality), Human mechanics, Human activity recognition, Pattern recognition system, Synchronization | ||||
Official Date: | June 2019 | ||||
Dates: |
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Status: | Peer Reviewed | ||||
Publication Status: | Submitted | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Open Access Version: |
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