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Movement Retraining using Real-time Feedback of Performance
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远程扩展现实与无标记运动跟踪,用于坐姿训练.

Xupeng Ai1, Sunil K Agrawal2

  • 1Department of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.

IEEE robotics and automation letters
|January 2, 2025
PubMed
概括

本研究引入了用于姿势训练的远程扩展现实 (XR) 系统,显示了功能范围和参与度的显著改善. 该系统为在家进行可访问和有效的远程康复提供了一个有希望的解决方案.

科学领域:

  • 康复医学 康复医学 康复医学
  • 人与计算机的交互
  • 生物医学工程 生物医学工程

背景情况:

  • 坐着时的动态姿势控制对于日常活动至关重要.
  • 传统的姿势训练在可访问性和实际应用性方面存在局限性.
  • 扩展现实 (XR) 为克服这些培训障碍提供了一种新的方法.

研究的目的:

  • 开发和评估用于坐姿训练的远程XR康复系统.
  • 评估系统对功能性达到性能和运动技能的影响.
  • 调查用户体验方面,包括存在,参与和享受.

主要方法:

  • 一项概念验证试点研究,涉及42名健康受试者.
  • 开发了一种远程XR系统,用于姿势训练的无标记运动跟踪.
  • 通过使用内置笔记本电脑摄像头在线会议收集数据,将XR辅助任务与传统任务进行比较.
  • 功能性触及测试成绩和关于存在,模拟器疾病,参与和享受的验证问卷的分析.

主要成果:

  • 远程XR训练系统显著提高了功能性达到性能.
  • 该系统在远程康复方面表现出高效,改善了运动技能.
  • XR互动导致了培训参与度和用户享受度的增加.
关键词:
无标记的运动跟踪.姿势控制 姿势控制远程康复系统 远程康复系统虚拟现实和接口

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  • 无标记追踪促进了自然运动,克服了物理限制.

    • 结论:

    • 开发的远程XR系统对于个性化,有吸引力的家庭姿势康复是有效的.
    • 这项技术弥合了患者和治疗师之间的差距,推进了远程康复.
    • 这些发现支持XR在开发未来远程康复解决方案方面的潜力.