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使用基于无线电的跟踪系统对短跑的时空参数进行估计与验证。

Estimation and validation of spatio-temporal parameters for sprint running using a radio-based tracking system.

作者信息

Seidl Thomas, Linke Daniel, Lames Martin

机构信息

Department of Sport and Health Sciences, Chair of Training Science and Sports Informatics, Technical University of Munich, Germany.

Department of Sport and Health Sciences, Chair of Training Science and Sports Informatics, Technical University of Munich, Germany.

出版信息

J Biomech. 2017 Dec 8;65:89-95. doi: 10.1016/j.jbiomech.2017.10.003. Epub 2017 Oct 12.

Abstract

Spatio-temporal parameters like step length, step frequency and ground contact time are directly related to sprinting performance. There is still a lack of knowledge, however, on how these parameters interact. Recently, various algorithms for the automatic detection of step parameters during sprint running have been presented which have been based on data from motion capture systems, video cameras, opto-electronic systems or Inertial measurement units. However, all of these methods suffer from at least one of the following shortcomings: they are (a) not applicable for more than one sprinter simultaneously, (b) only capable of capturing a small volume or (c) do not provide accurate spatial parameters. To circumvent these issues, the radio-based local position measurement system RedFIR could be used to obtain spatio-temporal information during sprinting based on lightweight transmitters attached to the athletes. To assess and optimize the accuracy of these parameters 19 100 m sprints of twelve young elite athletes (age: 16.5 ± 2.3 years) were recorded by a radio-based tracking system and a opto-electronic reference instrument. Optimal filter parameters for the step detection algorithm were obtained based on RMSE differences between estimates and reference values on an unseen test set. Attaching a transmitter above the ankle showed the best results. Bland-Altman analysis yielded 95% limits of agreement of [-14.65 cm, 15.05 cm] for step length [-0.016 s, 0.016 s] for step time and [-0.020 s, 0.028 s] for ground contact time, respectively. RMS errors smaller than 2% for step length and step time show the applicability of radio-based tracking systems to provide spatio-temporal parameters. This creates new opportunities for performance analysis that can be applied for any running discipline taking place within a stadium. Since analysis for multiple athletes is available in real-time this allows immediate feedback to coaches, athletes and media.

摘要

步长、步频和地面接触时间等时空参数与短跑成绩直接相关。然而,目前对于这些参数之间如何相互作用仍缺乏了解。最近,已经提出了各种用于在短跑过程中自动检测步参数的算法,这些算法基于运动捕捉系统、摄像机、光电系统或惯性测量单元的数据。然而,所有这些方法都至少存在以下缺点之一:它们(a)不适用于同时多个短跑运动员,(b)只能捕捉少量数据,或者(c)不能提供准确的空间参数。为了规避这些问题,可以使用基于无线电的局部位置测量系统RedFIR,通过附着在运动员身上的轻型发射器来获取短跑过程中的时空信息。为了评估和优化这些参数的准确性,一个基于无线电的跟踪系统和一个光电参考仪器记录了12名年轻精英运动员(年龄:16.5±2.3岁)的19次100米短跑。基于在一个未见过的测试集上估计值和参考值之间的均方根误差(RMSE)差异,获得了步检测算法的最佳滤波器参数。将发射器附着在脚踝上方显示出最佳结果。布兰德-奥特曼分析得出步长的95%一致性界限为[-14.65厘米,15.05厘米],步时间为[-0.016秒,0.016秒],地面接触时间为[-0.020秒,0.028秒]。步长和步时间的均方根误差小于2%,表明基于无线电的跟踪系统可用于提供时空参数。这为性能分析创造了新机会,可应用于体育场内进行的任何跑步项目。由于可以实时对多名运动员进行分析,这使得能够立即向教练、运动员和媒体提供反馈。

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