Integration of intelligent sports technology in optimizing kayaking athletes’ movement training
Abstract
With the continuous advancement of technology, intelligent sports technology has gradually become an important tool in sports training. This study aims to explore the application of intelligent sports technology in optimizing the movement training of kayaking athletes. By introducing advanced technologies such as motion capture, data analysis, and virtual reality, the research aims to improve athletes’ coordination and stability in their movements. Using kayaking athletes as research subjects, this study provides a detailed description of the application methods and experimental design of intelligent sports technology and systematically analyzes the collected data. The research results show that intelligent sports technology has a significant effect on improving the precision and efficiency of athletes’ movements. Specifically, through real-time feedback and data accumulation, coaches and athletes can develop more scientific and reasonable training plans, thereby significantly enhancing training effectiveness. However, the study also points out the shortcomings of intelligent sports technology in terms of portability and real-time data processing, which need further improvement and optimization in future research. Overall, this study provides evidence for the application of intelligent sports technology in kayaking training, having important practical significance and application value. It offers valuable references for the future development of sports training and intelligent technology.
References
1. Tonacci, A., Sansone, F., La Spina, R., Billeci, L., Domenici, C., Conte, R., Pratali, L., Sposta, S. M., & Giardini, G. (2017). Feasibility of using a smart unobtrusive wearable system for the autonomic characterisation of endurance trail runners. ICCE-Berlin 2017. https://doi.org/10.1109/ICCE-Berlin.2017.8210633
2. Amor, J., & James, C. (2018). Unobtrusive wearable technology for health monitoring. In Wearable Technologies: Concepts, Methodologies, Tools, and Applications (pp. 562–577). IGI Global.
3. Begon, M., Colloud, F., & Lacouture, P. (2008). Measurement of contact forces on a kayak ergometer with a sliding foot rest–seat complex. Sports Engineering, 11(2), 67–73. https://doi.org/10.1007/s12283-0
4. Bifaretti, S., Bonaiuto, V., Federici, L., Gabrieli, M., & Lanotte, N. (2016). E-kayak: a wireless DAQ system for real time performance analysis. Procedia Engineering, 147, 776–780.
5. Bonaiuto, V., Boatto, P., Lanotte, N., Romagnoli, C., & Annino, G. (2018). A multiprotocol wireless sensor network for high performance sport applications. Applied System Innovation, 1(4), 52. https://doi.org/10.3390/asi10400
6. Bonaiuto, V., Gatta, G., Romagnoli, C., Boatto, P., Lanotte, N., & Annino, G. (2020). A pilot study on the e-kayak system: A wireless DAQ suited for performance analysis in flatwater sprint kayaks. Sensors, 20(2), 542. https://doi.org/10.3390/s2002054
7. Campanella, C. E., Cuccovillo, A., Campanella, C., Yurt, A., & Passaro, V. M. N. (2018). Fibre Bragg grating based strain sensors: Review of technology and applications. Sensors (Basel, Switzerland), 18(9), 3115. https://doi.org/10.3390/s18093115
8. Gomes, B. B., Ramos, N. V., Conceição, F., Sanders, R. H., Vaz, M. A., & Vilas-Boas, J. P. (2015). Paddling force profiles at different stroke rates in elite sprint kayaking. Journal of Applied Biomechanics, 31(4), 258–263. https://doi.org/10.1123/jab.2014-0114
9. Gomes, B., Viriato, N., Sanders, R., Conceição, F., Vaz, M., & Vilas-Boas, J. P. (2011). Analysis of single and team kayak acceleration.
10. Harfield, P., Halkon, B., Mitchell, S., Phillips, I., & May, A. (2014). A novel, real-time biomechanical feedback system for use in rowing. Procedia Engineering, 72, 126–131. https://doi.org/10.1016/j.proeng.2014.06.004
11. Kos, M., & Kramberger, I. (2017). A wearable device and system for movement and biometric data acquisition for sports applications. IEEE Access. https://doi.org/10.1109/access.2
12. Nates, F. M., & Colloud, F. (n.d.). A 6-component paddle sensor to estimate kayaker’s performance: Preliminary results.
13. Nilsson, J. E., & Rosdahl, H. G. (2014). New devices for measuring forces on the kayak foot bar and on the seat during flat-water kayak paddling: A technical report. International Journal of Sports Physiology and Performance, 9(2), 365–370. https://doi.org/10.1123/ijspp.2012-0333
14. Niu, L., Kong, P. W., Tay, C. S., Lin, Y., Wu, B., Ding, Z., & Chan, C. C. (2019). Evaluating on-water kayak paddling performance using optical fiber technology. IEEE Sensors Journal, 19(24), 11918–11925. https://doi.org/10.1109/jsen.201
15. Tornberg, Å. B., Håkansson, P., Svensson, I., & Wollmer, P. (2019). Forces applied at the footrest during ergometer kayaking among female athletes at different competing levels – A pilot study. BMC Sports Science, Medicine and Rehabilitation, 11(1). https://doi.org/10.1186/s13102-0
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
