About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Mobile Terminal-Oriented Real-Time Monitoring Method for Athletes’ Special Training Load

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28787-9_43,
        author={Hui Xu and Qiang Zhang},
        title={Mobile Terminal-Oriented Real-Time Monitoring Method for Athletes’ Special Training Load},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2023},
        month={3},
        keywords={Mobile terminal Athletes Special training Load monitoring Real-time monitoring Exercise load},
        doi={10.1007/978-3-031-28787-9_43}
    }
    
  • Hui Xu
    Qiang Zhang
    Year: 2023
    Mobile Terminal-Oriented Real-Time Monitoring Method for Athletes’ Special Training Load
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-28787-9_43
Hui Xu1, Qiang Zhang2,*
  • 1: Anhui Medical College
  • 2: Fuyang Normal University
*Contact email: zqxh16584@163.com

Abstract

Aiming at the problem of inaccurate training load monitoring results due to the large individual differences of athletes’ special training, a real-time monitoring method for athletes’ special training load for mobile terminals is proposed. Use sensors as data collection devices to establish sports scenarios for mobile terminals, and use smart wearable devices to collect real-time data generated by special sports measured by sensors embedded in watches. Select the index reflecting the intensity of training load to find the regularity of athletes’ training growth. By recording the time ratios of different heart rate intervals for each exercise, the distribution and variation of the load intensity during the training were analyzed. Capture complete training load data during the movement. Through the real-time monitoring and early warning of special training load, the training status and training load of athletes can be adjusted, which is beneficial to improve the training quality of athletes. The test results show that the proposed method can improve the monitoring accuracy and provide a reference for improving the project training program.

Keywords
Mobile terminal Athletes Special training Load monitoring Real-time monitoring Exercise load
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28787-9_43
Copyright © 2022–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL