Abstract
In order to better design the athlete training scheme, a remote monitoring method of athlete training intensity based on mobile Internet of things is proposed. Combined with a certain logistics network to collect athletes’ training body data, build athletes’ training body data monitoring and management system, and simplify the steps of athletes’ training intensity monitoring and management. Finally, the experiment proves that the remote monitoring method of athletes’ training intensity based on mobile Internet of things has high practicability in the process of practical application and fully meets the research requirements.
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References
Lian, J., Fang, S.-y, Zhou, Y.-f.: Model predictive control of the fuel cell cathode system based on state quantity estimation. Comput. Simulation 37(07), 119–122 (2020)
Moreno-Navarro, P., Ibrahimbegovic, A., Ospina, A.: Multi-field variational formulations and mixed finite element approximations for electrostatics and magnetostatics. Comput. Mech. 65(1), 41–59 (2020)
Cunningham, J., Broglio, S.P., O’Grady, M., et al.: History of sport-related concussion and long-term clinical cognitive health outcomes in retired athletes: a systematic review. J. Athl. Train. 55(2), 132–158 (2020)
Bi, X.-c, Zhan, J.-g,: Effect of different incremental load tests on validity of test indicators in rowing training monitoring. J. Beijing Sport Univ. 43(02), 149–156 (2020)
Pan, S., Yuan, M.: System and application of video surrveillance based on edge computing. Telecommun. Sci. 36(06), 64–69 (2020)
Liu, H., Liu, Z., Ha, J.: Characteristics, influential factors and monitoring strategies of rugby injuries. J. Wuhan Inst. Phys. Educ. 54(05), 75–81 (2020)
Fu, Y., Wang, Z., Chen, W., et al.: Infrared human motion target detection based on gauss background model. Autom. Instrument. 34(01), 63–65+69 (2020)
Funding
School-level general project teaching and research project (brand major self-designed project) Promotion and practical analysis of happy gymnastics in the elective course of performance major (2020JYXM61).
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, Q., Xu, H. (2023). Remote Monitoring Method of Athlete Training Intensity Based on Mobile Internet of Things. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28787-9_28
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DOI: https://doi.org/10.1007/978-3-031-28787-9_28
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