定制训练的人体姿势估计模型的评估,用于动力学分析杆跳表现
James Baker1,2, Aaron Balloch1,3, Peter Peeling1,2
1School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, WA, Australia.
Journal of sports sciences
|April 14, 2025
概括
定制的人体姿势估计 (HPE) 准确地测量了杆跳动力学. 系统 系统 系统
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学 运动科学
- 运动分析 运动分析
背景情况:
- 基于标记器的运动捕捉是动力分析的黄金标准.
- 人体姿势估计 (HPE) 为运动跟踪提供了一个无标记的替代方案.
- 将HPE系统与基于标记器的系统进行验证对于其在体育科学中的采用至关重要.
研究的目的:
- 将自定义HPE系统的动力学数据与杆跳中的基于标记器的系统进行比较.
- 评估HPE的准确性和可靠性,以跟踪精英运动员的关键动力学变量.
- 为了确定HPE是否可以提供足够的准确性来评估杆跳的性能.
主要方法:
- 六名训练有素的杆跳者每人完成2-8个杆跳.
- 在HPE系统中使用了三个50Hz摄像头和一个专门的杆跳模型.
- 动力学数据 (质量中心和联合中心) 使用布兰德-阿尔特曼分析,MAE,R2和欧几里德距离进行了比较.
主要成果:
- 对于质量中心 (COM) 位置 (MAE:37-71毫米),HPE显示了足够的协议.
- 对于联合中心 (JC) 的协议有所不同 (MAE: 30-99 mm).
- 垂直COM MAE (41毫米) 低于典型的竞争酒吧高度增加 (50毫米).
结论:
- 定制的HPE系统为杆跳性能分析提供了足够准确的动力学数据.
- HPE是一种可行的无标记替代品,用于评估杆跳中垂直COM的基于标记系统.
- 对于特定的生物力学分析,可能需要在不同的联合中心进行进一步的验证.
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