Technical University Munich, Department for Training and Computer Science in Sports, Munich, Germany.
J Sports Sci. 2013;31(2):166-72. doi: 10.1080/02640414.2012.723131. Epub 2012 Sep 21.
Only a few studies have analysed the accuracy of position detection systems. All of them analysed distances and velocities, which are the outcome of calculations based on x,y positions. The objective of this study was to analyse the accuracy of dynamic x,y position measurement of a radar- and an image-based system in football. One and two runners performed five different runs on four different locations on a football pitch. X,y positions recorded by the radar-based and the image-based system were compared to x,y positions measured by a Laveg laser device. Accuracies were analysed by means of root mean square error (RMSE). Results showed that the radar-based system detects positions more accurately than the image-based system (P = 0.000). Mean RMSE of the radar-based system was 0.24 m, RMSE of the image-based system was 0.73 m. The image-based system was significantly influenced by the location of the run, whereas the radar-based system was not. Based on the results of this study, we conclude that the radar-based system is more valid in detecting x,y positions than the image-based system. Future studies should take advantage of the new test design which allows more precise statements on the accuracy of a position detection system.
仅有少数研究分析了位置检测系统的准确性。所有这些研究都分析了距离和速度，这是基于 x，y 位置的计算结果。本研究的目的是分析雷达和基于图像的系统在足球中动态 x，y 位置测量的准确性。一个和两个跑步者在足球场的四个不同位置进行了五次不同的跑步。基于雷达和基于图像的系统记录的 x，y 位置与 Laveg 激光设备测量的 x，y 位置进行了比较。通过均方根误差（RMSE）分析了准确性。结果表明，基于雷达的系统比基于图像的系统更准确地检测位置（P = 0.000）。基于雷达的系统的平均 RMSE 为 0.24 m，基于图像的系统的 RMSE 为 0.73 m。基于图像的系统受到跑步位置的显著影响，而基于雷达的系统则没有。基于这项研究的结果，我们得出结论，基于雷达的系统在检测 x，y 位置方面比基于图像的系统更有效。未来的研究应该利用新的测试设计，以便更准确地说明位置检测系统的准确性。
