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Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters

In order to solve the problem of improving the effectiveness of muscle strength training for sprinters, this paper presents a study using image observation technology. The main content of this technology research is to determine the experimental object and method according to the image observation a...

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Detalles Bibliográficos
Autores principales: Zou, Yimin, Han, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343189/
https://www.ncbi.nlm.nih.gov/pubmed/35959151
http://dx.doi.org/10.1155/2022/4987782
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author Zou, Yimin
Han, Liming
author_facet Zou, Yimin
Han, Liming
author_sort Zou, Yimin
collection PubMed
description In order to solve the problem of improving the effectiveness of muscle strength training for sprinters, this paper presents a study using image observation technology. The main content of this technology research is to determine the experimental object and method according to the image observation and muscle characteristics. Through the data processing and other processes, it is concluded that the image observation technology has a high accuracy in the observation of muscle movement patterns. The experimental results show that when the relationship number r = 0.99, the average error of prediction is 0.09, and the image observation technology has a high accuracy in the observation of muscle movement. Conclusion. It is proved that the technical research of image observation is effective and accurate for improving the training of sports muscle strength of sprinters.
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spelling pubmed-93431892022-08-10 Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters Zou, Yimin Han, Liming Scanning Research Article In order to solve the problem of improving the effectiveness of muscle strength training for sprinters, this paper presents a study using image observation technology. The main content of this technology research is to determine the experimental object and method according to the image observation and muscle characteristics. Through the data processing and other processes, it is concluded that the image observation technology has a high accuracy in the observation of muscle movement patterns. The experimental results show that when the relationship number r = 0.99, the average error of prediction is 0.09, and the image observation technology has a high accuracy in the observation of muscle movement. Conclusion. It is proved that the technical research of image observation is effective and accurate for improving the training of sports muscle strength of sprinters. Hindawi 2022-07-25 /pmc/articles/PMC9343189/ /pubmed/35959151 http://dx.doi.org/10.1155/2022/4987782 Text en Copyright © 2022 Yimin Zou and Liming Han. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zou, Yimin
Han, Liming
Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters
title Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters
title_full Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters
title_fullStr Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters
title_full_unstemmed Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters
title_short Image Observation Study on Improving the Effectiveness of Muscle Strength Training for Sprinters
title_sort image observation study on improving the effectiveness of muscle strength training for sprinters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343189/
https://www.ncbi.nlm.nih.gov/pubmed/35959151
http://dx.doi.org/10.1155/2022/4987782
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