Automated Tactical Analysis of Badminton Matches Using Machine Learning Techniques

Citation

Tan, Yong En and Abdullah, Junaidi and Wong, Lai Kuan (2022) Automated Tactical Analysis of Badminton Matches Using Machine Learning Techniques. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia.

[img] Text
34.TAN YONG EN.pdf - Submitted Version
Restricted to Registered users only

Download (249kB)

Abstract

•In sport analytics, there are multiple techniques used in analyzing the opponent, such as performance analysis, tactical analysis, and notation analysis.​ •As advancement in technology, old ways of doing these analysis are gradually automated by software. Thus, the overall process would be more precise, efficient, and fast.​ •Current research that involving sports and computing are focusing on those high rewarded sports, such as tennis, football, and basketball. Thus, sport like badminton, the number of published paper are rather limited or not up-to-date.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Machine Learning
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 20 Dec 2022 03:54
Last Modified: 20 Dec 2022 03:54
URII: http://shdl.mmu.edu.my/id/eprint/10951

Downloads

Downloads per month over past year

View ItemEdit (login required)