Opis

• Tytuł:
  Application of Artificial Intelligence in Basketball Sport
• Twórca:
  Li, Bin;
  Xu, Xinyang
• Opis:
  Basketball is among the most popular sports in the world, and its related industries have also produced huge economic benefits. In recent years, the application of artificial intelligence (AI) technology in basketball has attracted a large amount of attention. We conducted a comprehensive review of the application research of AI in basketball through literature retrieval. Current research focuses on the AI analysis of basketball team and player performance, prediction of competition results, analysis and prediction of shooting, AI coaching system, intelligent training machine and arena, and sports injury prevention. Most studies have shown that AI technology can improve the training level of basketball players, help coaches formulate suitable game strategies, prevent sports injuries, and improve the enjoyment of games. At the same time, it is also found that the number and level of published papers are relatively limited. We believe that the application of AI in basketball is still in its infancy. We call on relevant industries to increase their research investment in this area, and promote the improvement of the level of basketball, making the game increasingly exciting as its worldwide popularity continues to increase.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa:
  Prawa autorskie (c) 2021 © The Author(s)
• Data:
  2021.07.08
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Język:
  angielski
• Źródło:
  Journal of Education, Health and Sport; Vol. 11 No. 7 (2021); 54-67;
  Journal of Education, Health and Sport; Tom 11 Nr 7 (2021); 54-67;
  2391-8306
• Format:
  application/pdf
• Wydawca:
  Nicolaus Copernicus University, Toruń, Poland
• Relacja: https://apcz.umk.pl/JEHS/article/view/JEHS.2021.11.07.005/29268
• Temat i słowa kluczowe:
  basketball;
  artificial intelligence;
  wearable electronic devices
• Identyfikator: https://apcz.umk.pl/JEHS/article/view/JEHS.2021.11.07.005
• Dostawca danych:
  Akademicka Platforma Czasopism
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