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使用SHAP和LDA进行VR练习评估的可解释生物力学特征选择.

Urszula Czajkowska1, Magdalena Żuk1, Michał Popek1

  • 1Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wrocław, Poland.

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概括

虚拟现实 (VR) 康复可以使用生物机械特征客观地评估人类运动质量. 简化的传感器设置为诊所和家庭的可解释VR系统提供了可靠的见解.

关键词:
沙普利添加剂解释 (SHAP)生物力学 生物力学人类运动质量评估 (HMQA)线性差异分析 (LDA) 是一种分析方法.运动分析分析运动分析.虚拟现实 (VR) 是一种虚拟现实.

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科学领域:

  • 生物力学 生物力学
  • 康复工程 康复工程
  • 虚拟现实 虚拟现实 虚拟现实

背景情况:

  • 虚拟现实 (VR) 提供交互式康复,但缺乏客观的人类运动质量评估 (HMQA).
  • 在VR中确定准确的HMQA的关键生物力学特征对于有效的康复至关重要.

研究的目的:

  • 为了确定区分正确和不正确的横侧肺的生物力学特征.
  • 确定可靠VR运动分析的最小传感器,优先考虑可解释性.

主要方法:

  • 32名健康成年人进行了侧侧肺检查,并用7个传感器的HTC Vive追踪系统进行了记录.
  • 线性差异分析 (LDA) 和夏普利增量扩展 (SHAP) 分析了关节的角度,速度,加速和传感器距离.
  • 物理治疗师的视频观察分类重复对地面真理.

主要成果:

  • 角形特征 (例如,部曲,膝盖旋转加速) 显示出较高的LDA性能 (F1=0.89),而不是距离特征 (F1=0.78).
  • SHAP和LDA分析一致认为关键特征,包括传感器与身体的空间关系.
  • 较少的传感器可以提供可靠的诊断信息,角度特征更稳定.

结论:

  • 目标在VR中的HMQA是可行的,使用选定的生物力学特征.
  • 简化的传感器配置可以实现可靠和可解释的运动分析.
  • 这有助于为各种环境开发可访问的VR康复系统.