基于深度学习的网球比赛类型聚类
Hyo-Jun Yun1, Nara Jang2, Minsoo Jeon3
1Center for Sports and Performance Analysis, Korea National Sport University, Seoul, Republic of Korea.
这项研究确定了四种不同的网球比赛类型:网冲击者防守,全场防守,冲击位置进攻和服务位置进攻. 这些分类有助于制定有针对性的游戏策略,以提高玩家的表现.
科学领域:
- 运动科学 运动科学 运动科学
- 绩效分析 绩效分析
- 网球分析 网球分析
背景情况:
- 了解不同的网球比赛动态对于战略发展至关重要.
- 之前的研究缺乏对演奏风格的系统分类.
研究的目的:
- 根据比赛特征来定义和聚合不同的网球比赛类型.
- 提供数据驱动的框架,用于对职业网球中的比赛风格进行分类.
主要方法:
- 分析了2023年国际网球公开赛决赛的32场比赛.
- 包括7个领域的27个变量,由专家知识提供信息.
- 应用三个集群模型,使用轮系数用于最佳集群识别.
主要成果:
- 3型车表现出最高的性能,轮系数为0.406.
- 他们确定了四种不同的网球比赛类型:防守式的NEt冲击者,防守式的ALlCourter,进攻式的STroke安置和进攻式的Serve安置.
- 在确定集群的游戏记录变量中观察到显著的差异.
结论:
- 该研究为分类网球比赛类型提供了基础数据.
- 发现可以为每个已识别的类型制定量身定制的游戏策略.
- 这种分类有可能通过战略优化来提高球员的表现.
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