关键词: distance estimation gyroscope-based algorithm inertial measurement unit soccer performance monitoring step counter

Mesh : Soccer / physiology Humans Algorithms Athletic Performance / physiology Running / physiology Male Adult Walking / physiology Young Adult

来  源:   DOI:10.3390/s24113343   PDF(Pubmed)

Abstract:
This study focused on developing and evaluating a gyroscope-based step counter algorithm using inertial measurement unit (IMU) readings for precise athletic performance monitoring in soccer. The research aimed to provide reliable step detection and distance estimation tailored to soccer-specific movements, including various running speeds and directional changes. Real-time algorithms utilizing shank angular data from gyroscopes were created. Experiments were conducted on a specially designed soccer-specific testing circuit performed by 15 athletes, simulating a range of locomotion activities such as walking, jogging, and high-intensity actions. The algorithm outcome was compared with manually tagged data from a high-quality video camera-based system for validation, by assessing the agreement between the paired values using limits of agreement, concordance correlation coefficient, and further metrics. Results returned a step detection accuracy of 95.8% and a distance estimation Root Mean Square Error (RMSE) of 17.6 m over about 202 m of track. A sub-sample (N = 6) also wore two pairs of devices concurrently to evaluate inter-unit reliability. The performance analysis suggested that the algorithm was effective and reliable in tracking diverse soccer-specific movements. The proposed algorithm offered a robust and efficient solution for tracking step count and distance covered in soccer, particularly beneficial in indoor environments where global navigation satellite systems are not feasible. This advancement in sports technology widens the spectrum of tools for coaches and athletes in monitoring soccer performance.
摘要:
这项研究的重点是使用惯性测量单元(IMU)读数开发和评估基于陀螺仪的计步器算法,以进行精确的足球运动表现监测。该研究旨在提供针对足球特定动作的可靠步数检测和距离估计,包括各种运行速度和方向的变化。创建了利用陀螺仪柄角数据的实时算法。实验是在15名运动员进行的专门设计的足球专用测试电路上进行的,模拟一系列运动活动,如步行,慢跑,和高强度的行动。将算法结果与来自基于高质量摄像机的系统的手动标记数据进行比较,以进行验证。通过使用协议限制来评估配对值之间的协议,一致性相关系数,和进一步的指标。结果在大约202m的轨道上返回了95.8%的步进检测精度和17.6m的距离估计均方根误差(RMSE)。子样本(N=6)还同时佩戴两对装置以评估单元间可靠性。性能分析表明,该算法在跟踪各种足球特定动作方面是有效且可靠的。所提出的算法为跟踪足球中的步数和距离提供了一个鲁棒而有效的解决方案,在全球导航卫星系统不可行的室内环境中特别有益。体育技术的这种进步扩大了教练和运动员监控足球表现的工具范围。
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