篮球中的传感器分析
Sensor Analytics in Basketball
摘要：
团队运动分析的一种新方法是研究运动员在比赛中的位置和运动与团队表现的关系。最先进的跟踪系统产生玩家的时空轨迹，这促进了旨在从轨迹中提取见解的各种研究。借鉴了机器学习、网络与复杂系统、地理信息系统、计算机视觉和统计学等领域的方法。在回顾了这些利基文献中的最新技术，旨在为分析师和专家提取有用的信息，球员的轨迹和团队表现之间的关系，本文提出了初步的结果，从分析轨迹数据，并揭示了潜在的未来研究在这一领域的研究。特别是，使用凸包，我们发现有趣的运动员的运动模式。
英文摘要：
A new approach in team sports analysis consists in studying positioning and movements of players during the game in relation to team performance. State of the art tracking systems produce spatio-temporal traces of players that have facilitated a variety of research aimed to extract insights from trajectories. Several methods borrowed from machine learning, network and complex systems, geographic information system, computer vision and statistics have been proposed. After having reviewed the state of the art in those niches of literature aiming to extract useful information to analysts and experts in terms of relation between players' trajectories and team performance, this paper presents preliminary results from analysing trajectories data and sheds light on potential future research in this field of study. In particular, using convex hulls, we find interesting regularities in players' movement patterns.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
