Design and Application of Sports Athlete Training Progress Management System based on Big Data Analysis

Ruliang Wang

2021

Abstract

Sports athletes in order to achieve hard-won results, the daily training project content is numerous, the subject is multifarious. Among them, there are both basic physical training, project skills training, and special training in psychological quality. In the era of big data, big data analysis technology helps athletes to conduct training analysis, record training results in time and convey feedback to athletes and coaches, improving the management level of athletes’ training progress, so as to realize the systematization, informatization, intelligence and high efficiency of sports athletes’ training management. Through the integration of big data analysis technology and Internet technology, the construction of athletes’ training progress management system can provide athletes with more scientific training management decisions, so as to help them achieve better training results.

Paper Citation

in Harvard Style

Wang R. (2021). Design and Application of Sports Athlete Training Progress Management System based on Big Data Analysis. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 232-237. DOI: 10.5220/0011304600003437

in Bibtex Style

@conference{pmbda21,
author={Ruliang Wang},
title={Design and Application of Sports Athlete Training Progress Management System based on Big Data Analysis},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={232-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011304600003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - Design and Application of Sports Athlete Training Progress Management System based on Big Data Analysis
SN - 978-989-758-589-0
AU - Wang R.
PY - 2021
SP - 232
EP - 237
DO - 10.5220/0011304600003437