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用于坐姿训练的无标记运动跟踪远程扩展现实技术。

Remote Extended Reality with Markerless Motion Tracking for Sitting Posture Training.

作者信息

Ai Xupeng, Agrawal Sunil K

机构信息

Department of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.

Department of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.; Department of Rehabilitation and Regenerative Medicine, Columbia University, New York, NY, 10027, USA.

出版信息

IEEE Robot Autom Lett. 2024 Nov;9(11):9860-9867. doi: 10.1109/lra.2024.3460412. Epub 2024 Sep 13.

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-of-concept pilot study. Each subject completed 24 rounds of multi-directional reach tasks using the system and 24 rounds without it. Motion data were collected via online meetings using built-in camera in the user's laptop. 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.

摘要

坐姿时的动态姿势控制对于功能性移动和日常活动至关重要。扩展现实(XR)为解决与患者可达性和生态效度相关的传统训练局限性提供了一种有前景的姿势训练解决方案。我们开发了一种用于坐姿训练的、具有无标记运动跟踪功能的远程XR康复系统。四十二名健康受试者参与了这项概念验证性初步研究。每位受试者使用该系统完成了24轮多方向伸展任务,未使用该系统时也完成了24轮。通过在线会议,利用用户笔记本电脑中的内置摄像头收集运动数据。分析功能性伸展测试分数,以评估该系统对运动表现的影响。使用四份标准问卷来评估该系统对临场感、模拟器晕动症、参与度和愉悦感的影响。我们的结果表明,远程XR训练系统显著提高了功能性伸展表现,并被证明对远程康复非常有效。XR交互还增强了训练参与度和愉悦感。通过弥合患者与治疗师之间的空间差距,该系统能够实现个性化且引人入胜的居家干预。此外,它通过消除身体标记约束和实验室限制,促进了更自然的运动。这项研究应成为推进新型远程XR康复系统的垫脚石。

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