球类比赛数据可视分析技术的现状与展望

A Survey on Visual Analysis of Ball Games

DOI：10.12064/ssr.20210304

英文关键词:game sports competition data visualization visual analysis

基金项目:国家自然科学基金面上项目(62072400)

作者	单位
曹安琪	浙江大学 CAD&CG国家重点实验室,浙江杭州 310058
张辉	浙江大学教育学院体育学系,浙江杭州 310058 。
巫英才	浙江大学 CAD&CG国家重点实验室,浙江杭州 310058

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中文摘要:

梳理了目前国际上球类比赛数据可视化和可视分析的现状,通过对足球、篮球、冰球、橄榄球、网球、乒乓球和棒球等案例研究发现:同场对抗项目可视分析主要关注球员位置移动和球运行轨迹的时空变化；隔网对抗项目可视分析主要关注运动员每次击球行为属性(技术、落点、位置、弧线、得失分等)以及击球行为序列变化的时空与关联特征。研究还发现,体能主导类项目和技能主导类表现项目比赛数据的可视化和可视分析是今后需重点关注的方向。

英文摘要:

This paper analyzed the current studies of data visualization and visual analysis of ball games through cases (soccer, basketball, ice hockey, rugby, tennis, table tennis and baseball) in the world. The study found that the visual analysis of the field team sports mainly focused on the player's position movement and the change of the ball's trajectory, while the net sports mainly focused on the attributes of each stroke (techniques, placements, position, arc and scores etc.) and related features that change according to the sequence of strokes. The study also revealed that the visualization and visual analysis of the competition data in the endurance events as well as in skill events should be the focus in the future.

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