Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm

When material desires are satisfied, people begin to pursue more and more spiritual levels. Health exercises have an excellent auxiliary effect on people’s flexibility and physical fitness, so more and more people choose health exercises. However, the movement of health exercises returns to Chengdu...

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Autores principales:	Chao Ma, Minchao Shou
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/30bf5762556d42b2abd2a2c9e31bd355
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spelling	oai:doaj.org-article:30bf5762556d42b2abd2a2c9e31bd3552021-11-22T01:11:10ZSports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm1875-905X10.1155/2021/7687178https://doaj.org/article/30bf5762556d42b2abd2a2c9e31bd3552021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7687178https://doaj.org/toc/1875-905XWhen material desires are satisfied, people begin to pursue more and more spiritual levels. Health exercises have an excellent auxiliary effect on people’s flexibility and physical fitness, so more and more people choose health exercises. However, the movement of health exercises returns to Chengdu and affects the efficiency of physical training. Therefore, we have designed a sports competition assistance system based on vague big data and a health exercise recognition algorithm. First of all, in this article, the standard score comparison database is created by extending the standard action data. In addition, the system architecture is further given, and the key 3D data-based acquisition module design is given. In addition, the system architecture is further given, and the basic 3D data acquisition unit design is given. In this document, the depth characteristics filtered by the Fourier Pyramid are fused to the bone characteristics, and the merged data is sorted based on the support engine, thus designing the action recognition unit. A hidden Markov model (HMM) human action recognition algorithm based on pose selection is proposed. This method uses two affine propagation (AP) clustering algorithms to cluster the features, automatically select the key posture of each action, and correspond to the hidden state of the HMM. These hidden state labels are used to initialize the parameters of the HMM to train the model, and the trained model is used to implement action classification. The result shows that the design in the article has a more accurate recognition result, which provides a powerful tool for the referee to score. Using the Fourier Pyramid filtering method, through a large number of health exercises for comparison, the ability to judge the degree of standard health exercises is significantly improved, the efficiency is increased by 25%, and the accuracy rate is increased by 15%.Chao MaMinchao ShouHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Chao Ma Minchao Shou Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm
description	When material desires are satisfied, people begin to pursue more and more spiritual levels. Health exercises have an excellent auxiliary effect on people’s flexibility and physical fitness, so more and more people choose health exercises. However, the movement of health exercises returns to Chengdu and affects the efficiency of physical training. Therefore, we have designed a sports competition assistance system based on vague big data and a health exercise recognition algorithm. First of all, in this article, the standard score comparison database is created by extending the standard action data. In addition, the system architecture is further given, and the key 3D data-based acquisition module design is given. In addition, the system architecture is further given, and the basic 3D data acquisition unit design is given. In this document, the depth characteristics filtered by the Fourier Pyramid are fused to the bone characteristics, and the merged data is sorted based on the support engine, thus designing the action recognition unit. A hidden Markov model (HMM) human action recognition algorithm based on pose selection is proposed. This method uses two affine propagation (AP) clustering algorithms to cluster the features, automatically select the key posture of each action, and correspond to the hidden state of the HMM. These hidden state labels are used to initialize the parameters of the HMM to train the model, and the trained model is used to implement action classification. The result shows that the design in the article has a more accurate recognition result, which provides a powerful tool for the referee to score. Using the Fourier Pyramid filtering method, through a large number of health exercises for comparison, the ability to judge the degree of standard health exercises is significantly improved, the efficiency is increased by 25%, and the accuracy rate is increased by 15%.
format	article
author	Chao Ma Minchao Shou
author_facet	Chao Ma Minchao Shou
author_sort	Chao Ma
title	Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm
title_short	Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm
title_full	Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm
title_fullStr	Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm
title_full_unstemmed	Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm
title_sort	sports competition assistant system based on fuzzy big data and health exercise recognition algorithm
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/30bf5762556d42b2abd2a2c9e31bd355
work_keys_str_mv	AT chaoma sportscompetitionassistantsystembasedonfuzzybigdataandhealthexerciserecognitionalgorithm AT minchaoshou sportscompetitionassistantsystembasedonfuzzybigdataandhealthexerciserecognitionalgorithm
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Sports Competition Assistant System Based on Fuzzy Big Data and Health Exercise Recognition Algorithm

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