Montoliu Raul, Urbón-Bayes Pere, Daza Gabriel, Batalla-Gavalda Abraham
Institute of New Imaging Technologies. Universitat Jaume I. Av. Sos Baynat, 12560 Castellon, Spain.
Universitat Oberta de Catalunya, Spain.
Data Brief. 2024 Nov 6;57:111116. doi: 10.1016/j.dib.2024.111116. eCollection 2024 Dec.
This paper presents a comprehensive dataset detailing the precise indoor positioning of players from a female amateur handball team across 10 real matches. Utilizing Ultra-Wideband (UWB) technology, the dataset captures each player's x and y coordinates every second throughout the games. Additionally, a preliminary game analysis is included, specifying the initiation and termination times of each team's possession. This analysis provides a variety of labels crucial for training machine learning algorithms, encompassing distinctions such as attack or defense, structured or unstructured play, goal outcomes, and the differentiation between counter-attacks and static phases. In total, the dataset comprises 84691 positioning measurements, offering a valuable resource for in-depth study and analysis of player dynamics and game strategies in female handball.
本文展示了一个全面的数据集，详细记录了一支女子业余手球队在10场真实比赛中球员的精确室内定位。该数据集利用超宽带（UWB）技术，在比赛过程中每秒捕获每个球员的x和y坐标。此外，还包括一个初步的比赛分析，明确了每个球队控球的开始和结束时间。该分析提供了各种对训练机器学习算法至关重要的标签，包括进攻或防守、结构化或非结构化比赛、进球结果以及反击与静态阶段之间的区分。该数据集总共包含84691次定位测量，为深入研究和分析女子手球运动员的动态和比赛策略提供了宝贵资源。
