Are we giving cold shoulder to AI and Sports Ecosystem?

Book Title: AI Horizons – Exploring Multidisciplinary Frontiers (Volume 4)

Editors: Dr. Shweta A. Bansal and Dr. Charu Chhabra (PT)

ISBN: 978-81-984464-6-6

Chapter: 7

DOI: https://doi.org/10.59646/aihc7/305

Author: Kashish Pandey

Abstract

Conspicuously, the rise of artificial intelligence and its ameliorating effects has been tremendous. The former has been applied in the field of sports and the outcome of the amalgamation of the two is impeccable. From treating injuries to analysing them by fetching high-dimensional data through cloud computing, internet of things clubbed with cluster analysis has made the work of sports scientists and psychologists easier. The main objectives of this chapter are twofold: The chapter begins by exploring the role of AI in the sports ecosystem along with its application in the sport science industry. Furthermore, the possible use of the same in different area of sports is elucidated upon. Concluding thoughts are mentioned to elaborate upon the ameliorating effects of AI and the future of AI in the sports industry.

References

  1. D. Curtis, G. Hurt, and B. Heller, “The Reliability of a Tapping Test as an Indicator of Cricket bat Performance☆,” Procedia Engineering, vol. 72, pp. 666–671.
  2. Poole D., Mackworth A., Goebel R. (1998) Computational Intelligence: A Logical Approach. New York: Oxford University Press
  3. J. Perl, Modelling and simulation, 1st ed.
  4. J. Zhang, J. Sun, J. Wang, and X. G. Yue, “Visual object tracking based on residual network and cascaded correlation filters,” Journal of Ambient Intelligence and Humanized Computing, vol. 12, pp. 8427–8440, doi: 10.1007/s12652-020-02572-0
  5. M. Campbell, A. J. Hoane, and F. Hsu, “Deep Blue,” Artificial Intelligence, vol. 134, no. 1–2, doi: 10.1016/S0004-3702(01)00129-1
  6. Newborn M. (1997) Kasparov versus Deep Blue: Computer Chess Comes of Age. Springer
  7. W. Wei, W. Fang, and J. Peng, “An Experimental Research and Analysis of Reform of College Physical Education Teaching Model Based on Modern Network Technology,” Journal of Physics: Conference Series, vol. 1744, doi: 10.1088/1742-6596/1744/4/042229