Application of sports sensors in motion correction in competitive sports
Abstract
This study aims to explore the application of sports sensors in motion correction within competitive sports, providing both theoretical and practical guidance. With the advancement of technology, sensor technology is increasingly being applied in sports training and competition, aiding athletes and coaches in more accurately analyzing movements, enhancing performance, and reducing injury risks. The research employs both qualitative and quantitative methods to collect and analyze data from athletes during training and competition, examining the roles of sensors in stride length, stride frequency, posture analysis, and real-time feedback. Additionally, through the formulation of personalized training plans and injury prevention strategies, the study showcases the practical effects of sensors in various sports disciplines. The findings indicate that sensor technology significantly improves movement optimization, injury prevention, and performance enhancement. However, the study also highlights challenges in data collection and analysis, suggesting future research to expand data samples and improve analysis models. This research not only offers new perspectives for theoretical exploration but also provides concrete guidance for practical applications, thus holding substantial practical significance.
References
1. Anand A, Srivastava R, Prakash D, Kaligounder L, Sharma M. Wearable Motion Sensor Based Analysis of Swing Sports. IEEE. 2017. Available from: https://doi.org/10.1109/icmla.2017.0-149
2. Chen Z, Zhang G. CNN sensor based motion capture system application in basketball training and injury prevention. Prev Med. 2023;174:107644. Available from: https://doi.org/10.1016/j.ypmed.2023.107644
3. Gao H, Chen T. A flexible ultra-highly sensitive capacitive pressure sensor for basketball motion monitoring. Discov Nano. 2023;18(1). Available from: https://doi.org/10.1186/s11671-023-03783-y
4. Guelmami N, Mechraoui O, Fekih-Romdhane F, Bragazzi NL. Injury Prevention, Optimized Training and Rehabilitation: How Is AI Reshaping the Field of Sports Medicine. New Asian J Med. 2023;1(1):30–4. Available from: https://doi.org/10.61186/najm.1.1.30
5. Suo X, Tang W, Li Z. Motion Capture Technology in Sports Scenarios: A Survey. Sensors. 2024;24(9):2947. Available from: https://doi.org/10.3390/s24092947
6. Lapinski M, Paradiso JA, Kepple T, Moxley Scarborough D, Gill TJ, Berkson E, Brum Medeiros C. A Wide-Range, Wireless Wearable Inertial Motion Sensing System for Capturing Fast Athletic Biomechanics in Overhead Pitching. Sensors. 2019;19(17):3637. Available from: https://doi.org/10.3390/s19173637
7. Derungs A, Amft O. Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis. Sci Rep. 2020;10:11450. Available from: https://doi.org/10.1038/s41598-020-68225-6
8. Li RT, Sheehan J, Kling SR, Cupp SA, Voos JE, Salata MJ. Wearable Performance Devices in Sports Medicine. Sports Health. 2015;8(1):74–8. Available from: https://doi.org/10.1177/1941738115616917
9. Liu L, Zhang X. A Focused Review on the Flexible Wearable Sensors for Sports: From Kinematics to Physiologies. Micromachines. 2022;13(8):1356. Available from: https://doi.org/10.3390/mi13081356
10. Liu SQ, Zhu R, Li GZ, Zhang JC. A Wearable Flow-MIMU Device for Monitoring Human Dynamic Motion. IEEE Trans Neural Syst Rehabil Eng. 2020;28(3):637–45. Available from: https://doi.org/10.1109/tnsre.2020.2971762
11. Liu Z, Wang X. Action recognition for sports combined training based on wearable sensor technology and SVM prediction. Prev Med. 2023;173:107582. Available from: https://doi.org/10.1016/j.ypmed.2023.107582
12. Rana M, Mittal V. Wearable Sensors for Real-Time Kinematics Analysis in Sports: A Review. IEEE Sens J. 2020;21(2):1187–207. Available from: https://doi.org/10.1109/jsen.2020.3019016
13. Seçkin AÇ, Seçkin M, Ateş B. Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities. Appl Sci. 2023;13(18):10399.
14. Seshadri DR, Voos JE, Geletka BJ, Phelan DM, Hsu JJ, Gabbett TJ, Thom ML, Harlow ER, Drummond CK. Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden. Front Sports Act Living. 2021;2. Available from: https://doi.org/10.3389/fspor.2020.630576
15. Srivastava R, Mishra G, Sinha P, Patwari A, Kumar S, Kaligounder L. Efficient characterization of tennis shots and game analysis using wearable sensors data. IEEE. 2015. Available from: https://doi.org/10.1109/icsens.2015.7370311
16. Sun F, Zhu Y, Jia C, Zhao T, Chu L, Mao Y. Advances in self-powered sports monitoring sensors based on triboelectric nanogenerators. J Energy Chem. 2023;79:477–88. Available from: https://doi.org/10.1016/j.jechem.2022.12.024
17. Taborri J, Umek A, Keogh J, Kos A, Rossi S, Van Der Kruk E, Santuz A, Urbanczyk C. Sport Biomechanics Applications Using Inertial, Force, and EMG Sensors: A Literature Overview. Appl Bionics Biomech. 2020;2020(1):1–18. Available from: https://doi.org/10.1155/2020/2041549
18. Wagner JF. About Motion Measurement in Sports Based on Gyroscopes and Accelerometers—an Engineering Point of View. Gyroscopy Navig. 2018;9(1):1–18. Available from: https://doi.org/10.1134/s2075108718010091
19. Zaitsev D, Shabalina A, Egor E. High resolution miniature MET sensors for healthcare and sport applications. IEEE. 2018. Available from: https://doi.org/10.1109/icsenst.2018.8603579
20. Derungs A, Amft O. Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis. Sci Rep. 2020;10(1). Available from: https://doi.org/10.1038/s41598-020-68225-6
Copyright (c) 2025 Author(s)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on all articles published in this journal is retained by the author(s), while the author(s) grant the publisher as the original publisher to publish the article.
Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International, which means they can be shared, adapted and distributed provided that the original published version is cited.
Submit a Paper
