Suppr超能文献

运动分析中的系统误差和建模误差:对板球投球时肘部角度测量的影响

System and modelling errors in motion analysis: implications for the measurement of the elbow angle in cricket bowling.

作者信息

Elliott Bruce C, Alderson Jacqueline A, Denver Eliot R

机构信息

School of Human Movement and Exercise Science, The University of Western Australia, 35 Stirling Highway, Crawley, Perth 6009, Australia.

出版信息

J Biomech. 2007;40(12):2679-85. doi: 10.1016/j.jbiomech.2006.12.012. Epub 2007 Feb 16.

Abstract

The system and modelling errors of two fundamentally different motion capture systems (opto-reflective vs. video-based) were tested under various conditions, to determine their ability to accurately measure flexion-extension of the elbow angle in cricket bowling. A mechanical arm was used for all testing, that enabled known elbow flexion-extension and abduction ("carry") angles to be manually set. The root mean squared (RMS) error of 0.6 degrees for the opto-reflective system (Vicon-612) was more accurate in reconstructing a known angle than the video-based system (Peak Motus) (RMS error 2.3 degrees ) in the laboratory, when the same mathematical procedure (model) was applied to calculate the elbow flexion-extension angle. When different models were applied to the raw marker trajectories collected using the video-based system, RMS was lowest for the external marker segmental cluster models (2.3 degrees ) compared with 9.4 degrees for the vector and 4.5 degrees for the projected vector approaches, where joint centres were visually approximated. Real world, field-based comparisons using the video-based system showed that occluding the arm and therefore the shoulder, elbow and wrist joint centre locations by placing a shirt on the arm, increased RMS error for both vector (7.8 degrees -9.0 degrees ) and projected vector (4.3 degrees -5.1 degrees ) modelling approaches.

摘要

在各种条件下测试了两种根本不同的运动捕捉系统(光反射式与基于视频的系统)的系统误差和建模误差,以确定它们在板球投球中准确测量肘关节屈伸角度的能力。所有测试均使用了一个机械臂,该机械臂能够手动设置已知的肘关节屈伸和外展(“持球”)角度。当应用相同的数学程序(模型)来计算肘关节屈伸角度时,在实验室中,光反射式系统(Vicon - 612)的均方根(RMS)误差为0.6度,在重建已知角度方面比基于视频的系统(Peak Motus)(RMS误差2.3度)更准确。当将不同模型应用于使用基于视频的系统收集的原始标记轨迹时,与向量法的9.4度和投影向量法(通过视觉近似关节中心)的4.5度相比,外部标记节段聚类模型的RMS最低(2.3度)。使用基于视频的系统进行的基于实地的实际比较表明,通过在手臂上穿上衬衫遮挡手臂以及因此遮挡肩部、肘部和腕关节中心位置,会增加向量法(7.8度 - 9.0度)和投影向量法(4.3度 - 5.1度)建模方法的RMS误差。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验