Deep Learning Algorithms for Recognition of Badminton Strokes: A Study Using SDNN, RNN, and RNN-GRU Models with Off-Court Video Capture-Reference-Cited by-同舟云学术

Deep Learning Algorithms for Recognition of Badminton Strokes: A Study Using SDNN, RNN, and RNN-GRU Models with Off-Court Video Capture

Published:2024 Issue: Volume: Page:53-60
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Isa Wan Hasbullah Mohd^ORCID,Abdullah Muhammad Amirul^ORCID,Razman Mohd Azraai Mohd^ORCID,Majeed Anwar P. P. Abdul^ORCID,Khairuddin Ismail Mohd^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-8498-5_5

Reference15 articles.

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2. Badminton at the 2024 Paris Olympic games. https://www.nbcolympics.com/news/badminton-2024-paris-olympic-games. Accessed 3 Nov 2022

3. Venkat, R.: Badminton at the Olympics: a brief history (2021). https://olympics.com/en/featured-news/olympics-badminton-history-winners-debut-barcelona-1992. Accessed 12 Oct 2022

4. Liu, J., Liang, B.: An action recognition technology for badminton players using deep learning. Mob. Inf. Syst. 2022, 3413584 (2022). https://doi.org/10.1155/2022/3413584

5. Wang, Y., Fang, W., Ma, J., et al.: Automatic badminton action recognition using CNN with adaptive feature extraction on sensor data. In: Huang, D.-S., Bevilacqua, V., Premaratne, P. (eds.) Intelligent Computing Theories and Application, pp. 131–143. Springer International Publishing, Cham (2019)

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