同时有效性Theia3D无标记运动捕捉用于检测步行速度之间的斜视动力学差异
Josh Walker1, Aaron Thomas1, David E Lunn1,2
1Carnegie School of Sport, Leeds Beckett University, Leeds, UK.
Journal of sports sciences
|June 3, 2025
概括
无标记运动捕捉 (MMC) 准确地测量了不同步行和跑步速度的下肢斜腰平面动力学. 然而,与基于标记器的系统相比,它对盆腔倾斜测量的准确性较低.
科学领域:
- 生物力学 生物力学
- 运动分析 运动分析
- 步态分析 步态分析
背景情况:
- 无标记运动捕捉 (MMC) 为步态分析提供了一种可能更容易获得的方法.
- 对于检测多个步行速度的动力学差异,MMC的同时有效性仍然不清楚.
研究的目的:
- 确定Theia3D MMC能够检测出对不同步行速度 (走路和跑步) 的斜面平面运动反应的能力.
- 为了比较Theia3D MMC的准确性与基于标记器的运动捕捉用于下肢和骨盆运动.
主要方法:
- 14名参与者在跑步机上以每小时3,5,10和12公里的速度行走和跑步.
- 使用基于标记器的光电子摄像头和Theia3D MMC通过视频同步收集数据.
- 在系统之间对骨盆,部,膝盖和脚的斜腰平面运动学进行比较.
主要成果:
- Theia3D在部,膝盖和脚运动方面表现出极好的波形相似性 (CMD ≥0.87).
- 对联合动力学 (最小,最大,ROM) 的共识大多是好到优秀 (ICC = 0.475-0.950).
- 盆腔倾斜显示下部波形相似性 (CMD ≤ 0.48) 和一致性 (ICC = 0.032-0.776).
结论:
- Theia3D MMC适用于评估不同步行速度的下肢斜腰平面关节动力学.
- 与基于标记器的系统相比,该系统对骨盆倾斜测量的准确性有限.
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