首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Identification Computational Examination Critical Assessment and Future Considerations of Distance Variables to Assess Collective Tactical Behaviour in Team Invasion Sports by Positional Data: A Systematic Review
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Identification Computational Examination Critical Assessment and Future Considerations of Distance Variables to Assess Collective Tactical Behaviour in Team Invasion Sports by Positional Data: A Systematic Review

机译:位置数据对团队入侵运动中集体战术行为的距离变量的识别计算检查关键评估和未来考虑:系统评价

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摘要

The aim of the study was the identification, computational examination, critical assessment and future considerations of variables to assess collective tactical behaviour in team invasion sports by positional data. A total of 3973 documents were initially retrieved. Finally, 72 articles met the inclusion criteria, but only 26 suggested original tactical variables based on the variables. The variables can be classified into player–player, player–space, player–ball, and Geometrical Centre (GC)–GC /player/space/goal. In addition, several nonlinear techniques have been used to analyse the synchronisation and predictability of the variables in team invasion sports. Player–opponent is of special interest in those sports in which man-marking is commonly used, and in the micro-structure close to scoring situations in all sports. In addition, player–player distances are used to measure the length and the width of the team and player–GC to assess the dispersion of the team. Player–space distances have been measured to assess the of the player/team-line to relevant areas of the playing space. Several techniques have been applied to analyse the synchronisation (i.e., Hilbert transformation and cluster analyses) and the complexity and regularity or predictability (i.e., approximate entropies, sample entropy, cross-sample entropy and average mutual information) of the variables in team invasion sports, revealing the lack of consensus. Although the variables may be interesting tactical variables when considered in isolation, it would be enriching to analyse the relationship among these variables.
机译:该研究的目的是通过位置数据识别,计算检查,批判性评估以及变量的未来考虑,以评估团队入侵运动中集体战术行为。最初总共检索了3973个文档。最后,有72篇文章符合入选标准,但只有26篇文章根据这些变量提出了原始战术变量。变量可分为玩家,玩家,空间,玩家,球和几何中心(GC)-GC /玩家/空间/目标。此外,几种非线性技术已被用来分析团队入侵运动中变量的同步性和可预测性。运动员对手在那些经常使用人工标记的运动中以及在所有运动中都接近得分情况的微观结构中特别感兴趣。此外,球员与球员之间的距离用于衡量球队的长度和宽度,而球员与球员之间的距离则用于评估球队的分散度。测量球员与球队之间的距离,以评估球员/球队到比赛场地相关区域的距离。已经应用了多种技术来分析团队入侵运动中变量的同步(即希尔伯特变换和聚类分析)以及变量的复杂性和规则性或可预测性(即近似熵,样本熵,交叉样本熵和平均互信息)。 ,表明缺乏共识。尽管孤立地考虑这些变量可能是有趣的战术变量,但分析这些变量之间的关系将变得更加丰富。

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