An IoT-Based Injury Prediction and Sports Rehabilitation for Martial Art Students in Colleges Using RNN Model
Author:
Funder
The Study on mass sports development Path of National Traditional Sports under Chinese traditional sports
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11036-024-02410-z.pdf
Reference26 articles.
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2. Jan MA, Zhang W, Akbar A, Song H, Khan R (2023) and S.A. Chelloug. A Hybrid Mutual Authentication Approach for Artificial Intelligence of Medical things. IEEE Internet Things J
3. Salian A, Ghosh B, Shetye H, Kapadia P, Srivastava K (2024) Real-Time Injury Risk Assessment in Athletes Based on Relative Joint Angles, International Conference on Emerging Smart Computing and Informatics, ESCI 2024, 2024, https://doi.org/10.1109/ESCI59607.2024.10497417
4. Ni K, Li H (Mar. 2024) Optical wearable sensor based player injury detection with movement analysis using hybrid machine learning model. Opt Quantum Electron 56(3):1–16. https://doi.org/10.1007/S11082-023-06077-W/METRICS
5. Pareek A, Ro DH, Karlsson J, Martin RK (2024) Machine learning/artificial intelligence in sports medicine: state of the art and future directions, Journal of ISAKOS, Feb. https://doi.org/10.1016/J.JISAKO.2024.01.013
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