首页|Orientation and Decision-Making for Soccer Based on Sports Analytics and AI:A Systematic Review

Orientation and Decision-Making for Soccer Based on Sports Analytics and AI:A Systematic Review

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原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
  • 维普
Due to ever-growing soccer data collection approa-ches and progressing artificial intelligence(AI)methods,soccer analysis,evaluation,and decision-making have received increas-ing interest from not only the professional sports analytics realm but also the academic AI research community.AI brings game-changing approaches for soccer analytics where soccer has been a typical benchmark for AI research.The combination has been an emerging topic.In this paper,soccer match analytics are taken as a complete observation-orientation-decision-action(OODA)loop.In addition,as in Al frameworks such as that for reinforcement learning,interacting with a virtual environment enables an evolv-ing model.Therefore,both soccer analytics in the real world and virtual domains are discussed.With the intersection of the OODA loop and the real-virtual domains,available soccer data,includ-ing event and tracking data,and diverse orientation and decision-making models for both real-world and virtual soccer matches are comprehensively reviewed.Finally,some promising direc-tions in this interdisciplinary area are pointed out.It is claimed that paradigms for both professional sports analytics and Al research could be combined.Moreover,it is quite promising to bridge the gap between the real and virtual domains for soccer match analysis and decision-making.

Artificial intelligence(AI)decision-makingfootballreviewsoccersports analytics

Zhiqiang Pu、Yi Pan、Shijie Wang、Boyin Liu、Min Chen、Hao Ma、Yixiong Cui

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School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,the Institute of Automation,Chinese Academy of Sciences,Beijing 100190,and the Nanjing Artificial Intelligence Research of IA,Nanjing 211135,China

Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

Institute of Automation,Chinese Academy of Sciences,Beijing 100190,and also with the School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China

School of Sports Engineering,Beijing Sport University,Beijing 100091,China

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National Key Research,Development Program of ChinaBeijing Nova Program国家自然科学基金

2020AAA01034042022048407762073323

2024

10.1109/JAS.2023.123807

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN：2329-9266
年,卷(期)：2024.11(1)
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