Suppr超能文献

GPS 设备与多摄像机视频技术在正式足球比赛中的比较:系统间的一致性。

A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems.

机构信息

Sports Performance Area, FC Barcelona, Barcelona, Spain.

Department of Didactics of Musical, Plastic and Body Expression, Faculty of Sport Sciences, University of Extremadura, Caceres, Spain.

出版信息

PLoS One. 2019 Aug 8;14(8):e0220729. doi: 10.1371/journal.pone.0220729. eCollection 2019.

Abstract

The aim of this study was to compare the agreement of the movement demands data during a soccer match (total distance, distance per minute, average speed, maximum speed and distance covered in different speed sectors) between an optical tracking system (Mediacoach System) and a GPS device (Wimu Pro). Participants were twenty-six male professional soccer players (age: 21.65 ± 2.03 years; height: 180.00 ± 7.47 cm; weight: 73.81 ± 5.65 kg) from FC Barcelona B, of whom were recorded a total of 759 measurements during 38 official matches in the Spanish second division. The Mediacoach System and the Wimu Pro were compared using the standardized mean bias, standard error of estimate, intraclass correlation coefficients (ICC), coefficient of variation (%), and the regression equation to estimate data for each variable. In terms of agreement between systems, the magnitude of the ICC was almost perfect (> 0.90-1.00) for all variables analyzed. The coefficient of the variations between devices was close to zero (< 5%) for total distance, distance per minute, average speed, maximum speed, and walking and jogging, and between 9% and 15% for running, intense running, and sprinting at low and at high intensities. It can be observed that, compared to Wimu Pro the Mediacoach System slightly overestimated all the variables analyzed except for average speed, maximum speed, and walking variables. In conclusion, both systems can be used, and the information they provide in the analyzed variables can be interchanged, with the benefits implied for practitioners and researchers.

摘要

本研究旨在比较光学跟踪系统(Mediacoach 系统)和 GPS 设备(Wimu Pro)在足球比赛中(总距离、每分钟距离、平均速度、最高速度和不同速度区域的距离)记录的运动需求数据的一致性。参与者为 26 名来自巴塞罗那 B 队的男性职业足球运动员(年龄:21.65 ± 2.03 岁;身高:180.00 ± 7.47cm;体重:73.81 ± 5.65kg),他们在西班牙乙级联赛的 38 场正式比赛中总共被记录了 759 次测量。Mediacoach 系统和 Wimu Pro 使用标准化平均偏差、估计误差的标准误差、组内相关系数(ICC)、变异系数(%)和回归方程来比较每个变量的数据。就系统之间的一致性而言,对于所有分析的变量,ICC 的幅度几乎是完美的(>0.90-1.00)。设备之间的差异系数接近于零(<5%),用于总距离、每分钟距离、平均速度、最高速度和步行和慢跑,而在低强度和高强度的跑步、高强度跑步和冲刺时,差异系数在 9%到 15%之间。可以看出,与 Wimu Pro 相比,Mediacoach 系统除了平均速度、最高速度和步行变量外,略微高估了所有分析的变量。总之,这两种系统都可以使用,并且可以交换它们在分析变量中提供的信息,这对从业者和研究人员都有好处。

相似文献

1
A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems.
PLoS One. 2019 Aug 8;14(8):e0220729. doi: 10.1371/journal.pone.0220729. eCollection 2019.
2
Integrating video tracking and GPS to quantify accelerations and decelerations in elite soccer.
Sci Rep. 2021 Sep 17;11(1):18531. doi: 10.1038/s41598-021-97903-2.
4
Activity monitoring in men's college soccer: a single season longitudinal study.
Res Sports Med. 2018 Apr-Jun;26(2):178-190. doi: 10.1080/15438627.2018.1431535. Epub 2018 Jan 23.
7
Regular- and postseason comparisons of playing time and measures of running performance in NCAA Division I women soccer players.
Appl Physiol Nutr Metab. 2015 Sep;40(9):907-17. doi: 10.1139/apnm-2014-0560. Epub 2015 May 6.
8
Match Demands of National Collegiate Athletic Association Division I Men's Soccer.
J Strength Cond Res. 2018 Oct;32(10):2907-2917. doi: 10.1519/JSC.0000000000002719.

引用本文的文献

1
Effects of the FIFA World Cup Qatar 2022 on match running performance in the Spanish professional soccer league: A pilot study.
Biol Sport. 2025 Mar 24;42(3):269-274. doi: 10.5114/biolsport.2025.144414. eCollection 2025 Jul.
2
Analyzing Positional and Temporal Variations in Worst-Case Scenario Demands in Professional Spanish Soccer.
J Funct Morphol Kinesiol. 2025 May 13;10(2):172. doi: 10.3390/jfmk10020172.
6
Match-to-Match Variation on High-Intensity Demands in a Portuguese Professional Football Team.
J Funct Morphol Kinesiol. 2024 Jul 4;9(3):120. doi: 10.3390/jfmk9030120.
9
Analysis of player speed and angle toward the ball in soccer.
Sci Rep. 2024 May 23;14(1):11780. doi: 10.1038/s41598-024-62480-7.
10
Motion Capture Technology in Sports Scenarios: A Survey.
Sensors (Basel). 2024 May 6;24(9):2947. doi: 10.3390/s24092947.

本文引用的文献

2
Towards the use of multidimensional performance indicators in football small-sided games: the effects of pitch orientation.
J Sports Sci. 2019 May;37(9):1064-1071. doi: 10.1080/02640414.2018.1543834. Epub 2018 Nov 14.
3
Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance.
J Sports Sci. 2019 Mar;37(5):568-600. doi: 10.1080/02640414.2018.1521769. Epub 2018 Oct 11.
4
Effective injury forecasting in soccer with GPS training data and machine learning.
PLoS One. 2018 Jul 25;13(7):e0201264. doi: 10.1371/journal.pone.0201264. eCollection 2018.
5
Validation of electronic performance and tracking systems EPTS under field conditions.
PLoS One. 2018 Jul 23;13(7):e0199519. doi: 10.1371/journal.pone.0199519. eCollection 2018.
10
Maximum Distance and High-Speed Distance Demands by Position in NCAA Division I Collegiate Football Games.
J Strength Cond Res. 2017 Oct;31(10):2728-2733. doi: 10.1519/JSC.0000000000002105.

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