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Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
Published on: June 9, 2020
A Wearable Mixed Reality Platform to Augment Overground Walking: A Feasibility Study
Emily Evans1,2, Megan Dass3, William M Muter1
1Spaulding Rehabilitation Hospital, Cambridge, MA, United States.
Mixed reality head-mount displays (MR-HMD) can help people adjust their walking speed. This technology shows promise for rehabilitation by providing real-time visual feedback to guide gait adjustments during walking exercises.
Area of Science:
- Rehabilitation Technology
- Human-Computer Interaction
- Biomechanics
Background:
- Central nervous system (CNS) injuries impair walking speed modulation, increasing fall risk.
- Virtual reality (VR) enhances gait training but lacks real-world views, limiting functional carryover.
- Mixed reality head-mount displays (MR-HMD) offer immersive virtual interactions within real-world views, potentially improving gait rehabilitation.
Purpose of the Study:
- To develop and evaluate a novel mixed reality application using Microsoft HoloLens MR-HMD for real-time walking speed feedback.
- To determine if individuals can use MR-HMD visual feedback to achieve specific overground walking speed targets (85%, 100%, 115% of self-selected speed).
- To explore the accuracy, consistency, and effects on gait variability when using MR-HMD for gait training.
Main Methods:
- Developed a mixed reality application with Microsoft HoloLens MR-HMD for real-time visual feedback of walking speed targets.
- Tested the application with healthy adults, assessing their ability to match target speeds (85%, 100%, 115% of self-selected).
- Analyzed accuracy, trial consistency, and changes in gait parameters (speed, stride length, stride time) with and without MR-HMD feedback.
Main Results:
- Participants successfully matched their overground walking speed to MR-HMD visual feedback targets (p > 0.05).
- Inaccuracy was approximately 5% and remained consistent after the first trial.
- Walking with MR-HMD feedback did not increase walking speed variability but increased stride length and time variability compared to no feedback.
Conclusions:
- Mixed reality-based visual feedback effectively promotes goal-specific changes in overground walking behavior.
- The MR-HMD application shows potential for gait rehabilitation by providing augmented sensory feedback.
- Further research is needed to confirm the clinical safety and efficacy of MR-HMD technology in rehabilitation settings.
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