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Remote Extended Reality with Markerless Motion Tracking for Sitting Posture Training
  • Xupeng Ai,
  • Sunil K Agrawal
Xupeng Ai

Corresponding Author:[email protected]

Author Profile
Sunil K Agrawal

Abstract

Dynamic postural control during sitting is essential for functional mobility and daily activities. Extended reality (XR) presents a promising solution for posture training in addressing conventional training limitations related to patient accessibility and ecological validity. We developed a remote XR rehabilitation system with markerless motion tracking for sitting posture training. Forty-two healthy subjects participated in this proof-ofconcept pilot study. Each subject completed 24 rounds of multidirectional reach tasks using the system and 24 rounds without it. Motion data were collected via Zoom meetings using built-in cameras in laptops. Functional reach test scores were analyzed to assess the impact of the system on motor performance. Four standard questionnaires were used to assess the effects of this system on presence, simulator sickness, engagement, and enjoyment. Our results indicate that the remote XR training system significantly improved functional reach performance and proved highly effective for telerehabilitation. XR interaction also enhanced training engagement and enjoyment. By bridging the spatial gap between patients and therapists, this system enables personalized and engaging home-based intervention. Additionally, it facilitates more natural movements by eliminating body marker constraints and laboratory limitations. This study should serve as a stepping stone to advancing novel remote XR rehabilitation systems.
13 May 2024Submitted to TechRxiv
17 May 2024Published in TechRxiv