CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION
Autor(a) principal: | |
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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=S1517-86922021000800046 |
Resumo: | ABSTRACT As far as competitive sports are concerned, scientifically organizing the training process and strictly following the training rules are the only way to success. Tennis is the foundation of all sports. It develops physical and motor skills in a comprehensive and effective manner. Biomechanical diagnosis is mainly carried out on the basis of force-time curve recording of different movement modes, and the generated data is processed by computer through a special measuring device. The main purpose of this study is to use data fusion technology to analyze and evaluate the injury factors involved in various sports. Based on this, a dynamic chain model for early warning of sports injury risk factors is established, which can provide a reference for athletes to avoid and reduce the risk of injuries and ensure normal training and competition. In tennis training, scientific training monitoring is applied to diagnose and monitor athletes’ physical function and psychological state. Conduct humanized and scientific management of the training process. |
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CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSIONTennisData AggregationDamage Assessment Scientific TrainingABSTRACT As far as competitive sports are concerned, scientifically organizing the training process and strictly following the training rules are the only way to success. Tennis is the foundation of all sports. It develops physical and motor skills in a comprehensive and effective manner. Biomechanical diagnosis is mainly carried out on the basis of force-time curve recording of different movement modes, and the generated data is processed by computer through a special measuring device. The main purpose of this study is to use data fusion technology to analyze and evaluate the injury factors involved in various sports. Based on this, a dynamic chain model for early warning of sports injury risk factors is established, which can provide a reference for athletes to avoid and reduce the risk of injuries and ensure normal training and competition. In tennis training, scientific training monitoring is applied to diagnose and monitor athletes’ physical function and psychological state. Conduct humanized and scientific management of the training process.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=S1517-86922021000800046Revista 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_0018info:eu-repo/semantics/openAccessLi,Yaneng2021-06-09T00:00:00Zoai:scielo:S1517-86922021000800046Revistahttp://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 |
CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION |
title |
CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION |
spellingShingle |
CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION Li,Yan Tennis Data Aggregation Damage Assessment Scientific Training |
title_short |
CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION |
title_full |
CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION |
title_fullStr |
CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION |
title_full_unstemmed |
CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION |
title_sort |
CONSTRUCTION OF INTELLIGENT CAMPUS TENNIS PLAYERS’ BODY DATA MONITORING AND INJURY WARNING SYSTEM BASED ON DATA FUSION |
author |
Li,Yan |
author_facet |
Li,Yan |
author_role |
author |
dc.contributor.author.fl_str_mv |
Li,Yan |
dc.subject.por.fl_str_mv |
Tennis Data Aggregation Damage Assessment Scientific Training |
topic |
Tennis Data Aggregation Damage Assessment Scientific Training |
description |
ABSTRACT As far as competitive sports are concerned, scientifically organizing the training process and strictly following the training rules are the only way to success. Tennis is the foundation of all sports. It develops physical and motor skills in a comprehensive and effective manner. Biomechanical diagnosis is mainly carried out on the basis of force-time curve recording of different movement modes, and the generated data is processed by computer through a special measuring device. The main purpose of this study is to use data fusion technology to analyze and evaluate the injury factors involved in various sports. Based on this, a dynamic chain model for early warning of sports injury risk factors is established, which can provide a reference for athletes to avoid and reduce the risk of injuries and ensure normal training and competition. In tennis training, scientific training monitoring is applied to diagnose and monitor athletes’ physical function and psychological state. Conduct humanized and scientific management of the training process. |
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 |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000800046 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000800046 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1517-8692202127022021_0018 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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) |
repository.mail.fl_str_mv |
||revista@medicinadoesporte.org.br |
_version_ |
1752122238074617856 |