IDEAS home Printed from https://ideas.repec.org/a/hin/complx/4658937.html
   My bibliography  Save this article

Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach

Author

Listed:
  • Shiqing Wei
  • Puquan Huang
  • Rui Li
  • Zhiguo Liu
  • Yuepei Zou
  • Huihua Chen

Abstract

With the rapid development of computer science and information technology, artificial intelligence (AI) has been developed from theory to application. As a key technology in the modern society, AI is increasingly affecting all aspects of people’s daily lives, including sports training. AI can be considered as an assistive technology to provide specific support to athletes’ physical education training through various means such as data analysis and simulation of training scenarios. Although research on AI is still in the preliminary stage, it is significant to explore how AI can be applied in sports training since this emerging technology could facilitate people’s physical training to some extent. This paper first reviews the existing research on AI applications. Then, based on the fundamental concept and related research results of AI, this study explores three specific cases of AI application in sports training and explains the main principles. This research focuses on discussing the strong relationship between AI technology and physical education training and highlights the advantages of AI, including utilization, convenience, and innovation.

Suggested Citation

  • Shiqing Wei & Puquan Huang & Rui Li & Zhiguo Liu & Yuepei Zou & Huihua Chen, 2021. "Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach," Complexity, Hindawi, vol. 2021, pages 1-8, May.
  • Handle: RePEc:hin:complx:4658937
    DOI: 10.1155/2021/4658937
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/4658937.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/4658937.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/4658937?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:4658937. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.