A new dataset for spatial, temporal, and tactical analysis of female handball player movements.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-11-06 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111116
Raul Montoliu, Pere Urbón-Bayes, Gabriel Daza, Abraham Batalla-Gavalda
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Abstract

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.

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一个新的数据集,用于空间,时间和战术分析的女子手球运动员的动作。
本文提供了一个全面的数据集,详细介绍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。利用超宽带(UWB)技术,数据集在整个游戏过程中每秒捕获每个球员的x和y坐标。此外,还包括初步的比赛分析,指定每支球队的开始和结束时间。这种分析为训练机器学习算法提供了各种至关重要的标签,包括攻击或防御,结构化或非结构化游戏,目标结果以及反击和静态阶段之间的区分。该数据集共包含84691个定位测量值,为深入研究和分析女子手球运动员动态和比赛策略提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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