结合角度的计算姿势估计模型与3D运动捕捉模型的比较.
Rebecca I Hamilton1, Zornitza Glavcheva-Laleva2, Md Imdadul Haque Milon3
1Centre for Trials Research, School of Medicine, Cardiff University, CF14 4YU, UK.
Journal of bodywork and movement therapies
|November 27, 2024
概括
两个姿势估计模型,HRNet和MediaPipe,显示可靠的关节角度和运动范围 (ROM) 计算,用于在康复中分析人类运动. 这两种模型都提供了与基于标记器的系统可比的有价值,一致的数据.
科学领域:
- 生物力学 生物力学
- 人类运动分析 人类运动分析
- 康复技术 康复技术 康复技术
背景情况:
- 肌肉骨临床医生和研究人员需要准确的人类运动分析工具来进行有效的康复评估.
- 对关节角度和运动范围 (ROM) 的客观量化对于评估运动模式至关重要.
研究的目的:
- 将两个人体姿势估计模型HRNet和MediaPipe的准确性与基于实验室标记器的参考系统进行比较.
- 评估这些模型在各种运动过程中计算关节角度和ROM的可靠性.
主要方法:
- 22名健康的志愿者进行了五种不同的动作.
- 使用HRNet和MediaPipe模型计算联合角度和ROM,并与Qualisys Track Manager (基于标记器的系统) 进行比较.
- 变化系数 (CoV) 和类内相关系数 (ICC) 用于统计分析.
主要成果:
- 在所有测试活动中,HRNet和MediaPipe都展示了可靠的关节角度计算,Cov值低于10%.
- ROM比较显示了低的Cov,在大多数练习中具有良好的ICC,除了坐立时的左膝盖外.
- 与3D运动分析相比,曲/伸展运动比坐到站运动产生了更一致的结果.
结论:
- 在临床康复环境中,HRNet和MediaPipe为人类运动分析提供可靠和可比的动力学数据.
- 这些模型为客观运动分析提供了有价值的替代方案,在这些情况下,先进的运动捕捉系统是不可用的.
- 进一步的模型改进可以提高更复杂的运动分析的可靠性.
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