Article
Version 1
Preserved in Portico This version is not peer-reviewed
Gaming Tree Based Evaluation Model for Badminton Tactic Benefit Analysis and Prediction
Version 1
: Received: 24 May 2023 / Approved: 25 May 2023 / Online: 25 May 2023 (05:35:09 CEST)
A peer-reviewed article of this Preprint also exists.
Liu, W.; Zhu, Y.; Guo, W.; Wang, X.; Yu, S. Gaming Tree Based Evaluation Model for Badminton Tactic Benefit Analysis and Prediction. Appl. Sci. 2023, 13, 7380. Liu, W.; Zhu, Y.; Guo, W.; Wang, X.; Yu, S. Gaming Tree Based Evaluation Model for Badminton Tactic Benefit Analysis and Prediction. Appl. Sci. 2023, 13, 7380.
Abstract
Badminton tactics refer to the techniques and strategies employed by players to win a match. Analyzing these tactics can help players improve their performance and outsmart their opponents. To study the tactics of top players, we use a gaming tree to analyze matches between two of the most powerful badminton players in history: Lin and Lee. By employing the Nash Equilibrium, we can discover the most beneficial strategies for both players, which reflect their most powerful techniques. Additionally, with the help of this gaming tree, we can precisely predict how players will implement their tactics. Empirical experimental results demonstrate that our proposed method not only evaluates and identifies each player's weaknesses and strengths but also has powerful capabilities to predict their tactics.
Keywords
tactic analysis; gaming tree; nash equilibrium; badminton analysis and prediction; computer-based analysis
Subject
Computer Science and Mathematics, Analysis
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment