2D-pose与3D运动捕捉方法的比较,用于评估活动肩部运动范围
Wolbert van den Hoorn1,2, Maxence Lavaill2,3, Freek Hollman2
1School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Shoulder & elbow
|August 11, 2025
概括
智能手机的2D姿势估计是肩膀运动范围 (ROM) 评估的有效工具,与3D运动捕捉具有很高的一致性. 然而,由于解剖框架定义和胸部运动的差异,它不应交替使用.
科学领域:
- 生物力学 生物力学
- 医疗技术 医疗技术 医学技术
- 人类运动分析 人类运动分析
背景情况:
- 基于智能手机的2D姿势估计提供了一种方便的方法来评估肩部运动范围 (ROM).
- 与3D运动捕捉 (3D-mocap) 相比,2D姿势估计的准确性需要对临床应用进行彻底的调查.
研究的目的:
- 评估基于智能手机的2D姿势估计在肩部ROM测量的准确性和一致性.
- 为了在各种肩部运动中比较2D姿势ROM估计与金级标准的3D模拟图.
- 检查胸部补偿和解剖框架定义对2D姿势ROM精度的影响.
主要方法:
- 没有肩部问题的17名参与者同时接受了3D模拟和2D姿势肩部ROM记录.
- 运动包括绑架,曲,延伸,外部旋转和内部旋转 (IR).
- 统计分析涉及线性混合模型和布兰德-阿尔特曼分析,以比较2D-pose和3D-mocap数据.
主要成果:
- 在2D-pose和3D-mocap之间发现了很高的一致性 (R2>0.98),特别是在绑架和曲方面.
- 2D姿势倾向于在更大的范围 (2°-25°) 上高估ROM,这与解剖框架变化和胸部贡献有关.
- 虽然内部旋转区域的识别是一致的,但由于胸部补偿,延伸和外部旋转显示出更多的变化.
结论:
- 基于智能手机的2D姿势估计为肩部ROM评估提供了有效的替代方案.
- 由于解剖框架定义和胸部运动的不一致意味着2D姿势和3D摩卡是不可互换的.
- 来自2D姿势估计的肩膀ROM数据的临床解释必须考虑这些已识别的局限性.
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