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Analyzing Team Game Play Interactions Using Gaze Data

机译:使用凝视数据分析团队比赛互动

摘要

Systems, methods, and computer-readable media are disclosed for capturing, over the course of a sports match, gaze data for each participant on a team, identifying a team-level key performance indicator (KPI) associated with a sports domain to which the sports match corresponds, and generating KPI data corresponding to the KPI. A graph may then be constructed based at least in part on the KPI data, where each node in the graph may represent a player on the team or an object of interest, and each edge connecting adjacent nodes may be weighted to indicate a degree of interaction between the nodes connected by the edge. KPI data may be aggregated across multiple sports domain KPIs and analyzed to assess team performance characteristics during the sports match. Report data indicative of team performance for different game scenarios, and optionally including recommendations for improving team performance in such scenarios, may be generated.
机译:公开了系统,方法和计算机可读介质,该系统,方法和计算机可读介质用于在运动比赛的过程中捕获团队中每个参与者的注视数据,识别与运动领域相关联的团队级关键绩效指标(KPI)。运动比赛对应,并生成与KPI相对应的KPI数据。然后可以至少部分地基于KPI数据来构造图,其中图中的每个节点可以代表团队中的玩家或感兴趣的对象,并且连接相邻节点的每个边缘可以被加权以指示交互程度。边缘连接的节点之间。 KPI数据可以跨多个运动领域KPI进行汇总,并进行分析以评估运动比赛期间的团队绩效特征。可以生成报告数据,该报告数据指示针对不同游戏场景的团队表现,并且可选地包括用于在这种场景下改善团队表现的建议。

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