COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS

Detalhes bibliográficos
Autor(a) principal: Zhu,Xidong
Data de Publicação: 2021
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de medicina do esporte (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000800042
Resumo: ABSTRACT In order to improve the training quality of high-level athletes in Chinese and American universities, an athlete’s sports information transmission model is designed based on the Internet of Things (IoT). The communication protocol between Ayla module and the main motion control board, Ayla module and client APP or cloud platform, and APP and cloud platform in the system is designed in detail. For the Ayla module, the most important hardware part of the system, the internal composition and software design are described. In the mobile phone client part that is closely related to the user, the MVC architecture is adopted, the singleton and agent design patterns are utilized, and the functional design of each part is elaborated, including APP interface animation, data transmission format, network communication, and database storage. The research results show that the system of this study can handle most of the athlete training information, and the prediction accuracy exceeds the traditional algorithm. This research study is of great significance for improving the training efficiency of high-level athletes and further expanding the scope of application of the IoT.
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spelling COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGSInternet of ThingsUniversitiesAthleteABSTRACT In order to improve the training quality of high-level athletes in Chinese and American universities, an athlete’s sports information transmission model is designed based on the Internet of Things (IoT). The communication protocol between Ayla module and the main motion control board, Ayla module and client APP or cloud platform, and APP and cloud platform in the system is designed in detail. For the Ayla module, the most important hardware part of the system, the internal composition and software design are described. In the mobile phone client part that is closely related to the user, the MVC architecture is adopted, the singleton and agent design patterns are utilized, and the functional design of each part is elaborated, including APP interface animation, data transmission format, network communication, and database storage. The research results show that the system of this study can handle most of the athlete training information, and the prediction accuracy exceeds the traditional algorithm. This research study is of great significance for improving the training efficiency of high-level athletes and further expanding the scope of application of the IoT.Sociedade Brasileira de Medicina do Exercício e do Esporte2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000800042Revista Brasileira de Medicina do Esporte v.27 n.spe2 2021reponame:Revista brasileira de medicina do esporte (Online)instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)instacron:SBMEE10.1590/1517-8692202127022021_0045info:eu-repo/semantics/openAccessZhu,Xidongeng2021-06-09T00:00:00Zoai:scielo:S1517-86922021000800042Revistahttp://www.scielo.br/rbmeONGhttps://old.scielo.br/oai/scielo-oai.php||revista@medicinadoesporte.org.br1806-99401517-8692opendoar:2021-06-09T00:00Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)false
dc.title.none.fl_str_mv COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS
title COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS
spellingShingle COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS
Zhu,Xidong
Internet of Things
Universities
Athlete
title_short COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS
title_full COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS
title_fullStr COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS
title_full_unstemmed COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS
title_sort COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS
author Zhu,Xidong
author_facet Zhu,Xidong
author_role author
dc.contributor.author.fl_str_mv Zhu,Xidong
dc.subject.por.fl_str_mv Internet of Things
Universities
Athlete
topic Internet of Things
Universities
Athlete
description ABSTRACT In order to improve the training quality of high-level athletes in Chinese and American universities, an athlete’s sports information transmission model is designed based on the Internet of Things (IoT). The communication protocol between Ayla module and the main motion control board, Ayla module and client APP or cloud platform, and APP and cloud platform in the system is designed in detail. For the Ayla module, the most important hardware part of the system, the internal composition and software design are described. In the mobile phone client part that is closely related to the user, the MVC architecture is adopted, the singleton and agent design patterns are utilized, and the functional design of each part is elaborated, including APP interface animation, data transmission format, network communication, and database storage. The research results show that the system of this study can handle most of the athlete training information, and the prediction accuracy exceeds the traditional algorithm. This research study is of great significance for improving the training efficiency of high-level athletes and further expanding the scope of application of the IoT.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000800042
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1517-8692202127022021_0045
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
publisher.none.fl_str_mv Sociedade Brasileira de Medicina do Exercício e do Esporte
dc.source.none.fl_str_mv Revista Brasileira de Medicina do Esporte v.27 n.spe2 2021
reponame:Revista brasileira de medicina do esporte (Online)
instname:Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron:SBMEE
instname_str Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
instacron_str SBMEE
institution SBMEE
reponame_str Revista brasileira de medicina do esporte (Online)
collection Revista brasileira de medicina do esporte (Online)
repository.name.fl_str_mv Revista brasileira de medicina do esporte (Online) - Sociedade Brasileira de Medicina do Exercício e do Esporte (SBMEE)
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