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Computer Vision-Based Classification of Manual Wheelchair Propulsion Patterns.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
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Evaluation of visual augmented feedback on manual wheelchair (MWC) users' wheelchair propulsion pattern in a MWC simulator to enhance training outcomes: a pilot study.

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Augmented feedback for powered wheelchair training in a virtual environment.

Catherine Bigras1,2, Dahlia Kairy3, Philippe S Archambault4,5

  • 1Integrated Program in Neuroscience, McGill University, Montreal, Canada.

Journal of Neuroengineering and Rehabilitation
|January 20, 2019
PubMed
Summary
This summary is machine-generated.

Virtual reality training for powered wheelchair (PW) driving improves performance. Augmented feedback during training showed a small effect on speed-accuracy, suggesting its benefit is immediate.

Keywords:
Augmented feedbackPowered wheelchairTrainingVirtual reality

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Area of Science:

  • Rehabilitation Engineering
  • Human-Computer Interaction
  • Motor Learning

Background:

  • Powered wheelchair (PW) driving demands complex skills and poses risks, necessitating effective training.
  • Virtual reality (VR) offers a safe environment for practicing PW driving tasks.
  • Augmented feedback in VR training can potentially optimize learning and skill acquisition.

Purpose of the Study:

  • To evaluate if augmented feedback during VR powered wheelchair simulator training enhances performance.
  • To determine if skills acquired in VR transfer to real-world PW driving.

Main Methods:

  • Forty healthy adults were divided into two groups: augmented feedback and control.
  • Training occurred in a VR simulator, with performance assessed in both virtual (VE) and real environments (RE).
  • Assessments included baseline, post-training, and retention/transfer tests two days later.

Main Results:

  • Both groups improved task completion time and reduced collisions in the VE post-training, with sustained results.
  • Transfer tests showed improved RE performance for both groups compared to baseline.
  • Augmented feedback group demonstrated significant speed-accuracy distribution changes pre- and post-training, unlike the control group.

Conclusions:

  • Powered wheelchair simulator training effectively improves driving task completion and reduces collisions.
  • Augmented feedback shows a subtle impact on speed-accuracy, emphasizing the importance of this tradeoff in PW driving.
  • The benefits of augmented feedback appear most pronounced during and immediately after training.