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

机译:使用基于无线电跟踪系统进行冲刺运行时空参数的估计和验证

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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.
机译:摘要时空参数等步长,阶梯频率和地接触时间与冲刺性能直接相关。然而,这些参数如何互动,仍然缺乏知识。最近,已经介绍了用于自动检测Sprint运行期间的步进参数的各种算法,其基于来自运动捕获系统,摄像机,光电子系统或惯性测量单元的数据。然而,所有这些方法患有以下缺点中的至少一个:它们是(a)同时不适用于多个短跑运动,(b)只能捕获小体积或(c)不提供准确的空间参数。为了规避这些问题,基于无线电的本地位置测量系统REDFIR可用于基于连接到运动员的轻质发射器来获得冲刺期间的时空信息。为了评估和优化这些参数的准确性19 100 M杨氏精英运动员(年龄:16.5?±2.3岁)的速度被基于无线电的跟踪系统和光学电子参考仪器记录。基于看不见的测试集之间的估计和参考值之间的RMSE差异获得了步骤检测算法的最佳滤波器参数。附加在脚踝上方的发射器显示出最佳效果。 Bland-Altman分析产生了阶梯长度的[14.65厘米,15.05厘米,15.05厘米,15.05厘米]的达成95%的限制分别接触时间。对于步长和步骤时间小于2%的RMS误差显示了基于无线电跟踪系统的适用性提供了时空参数。这为绩效分析创造了新的机会,可用于在体育场内进行任何运行的纪律。由于对多个运动员的分析实时可用,因此允许立即反馈教练,运动员和媒体。

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