Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception

Heart rate is one of the important indices to calculate and evaluate the intensity and quality of motion. It can scientifically and objectively reflect the intensity level of momentum and exercise in the process of exercise. It is an important index of athletic strength and physical fitness of athle...

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Autores principales: Ge Liu, Baiqing Liu
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/2f05b57256aa4b519a5c8dfd76d0b022
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spelling oai:doaj.org-article:2f05b57256aa4b519a5c8dfd76d0b0222021-11-22T01:10:21ZStudy on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception1687-726810.1155/2021/9357225https://doaj.org/article/2f05b57256aa4b519a5c8dfd76d0b0222021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9357225https://doaj.org/toc/1687-7268Heart rate is one of the important indices to calculate and evaluate the intensity and quality of motion. It can scientifically and objectively reflect the intensity level of momentum and exercise in the process of exercise. It is an important index of athletic strength and physical fitness of athletes in college sports training. This paper analyzes the basic metabolic model of the human body and energy supply and demand model and constructs a scientific energy consumption test model for special sports activity. An algorithm for heart rate detection and energy consumption based on acceleration data acquisition is proposed. Therefore, it is proposed to calculate motion acceleration using bone point data obtained from a portable telephone camera sensor for special sports activity and to calculate kinetic energy consumption through detection data. A model for evaluating the proposed algorithm is also established.Ge LiuBaiqing LiuHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
spellingShingle Technology (General)
T1-995
Ge Liu
Baiqing Liu
Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception
description Heart rate is one of the important indices to calculate and evaluate the intensity and quality of motion. It can scientifically and objectively reflect the intensity level of momentum and exercise in the process of exercise. It is an important index of athletic strength and physical fitness of athletes in college sports training. This paper analyzes the basic metabolic model of the human body and energy supply and demand model and constructs a scientific energy consumption test model for special sports activity. An algorithm for heart rate detection and energy consumption based on acceleration data acquisition is proposed. Therefore, it is proposed to calculate motion acceleration using bone point data obtained from a portable telephone camera sensor for special sports activity and to calculate kinetic energy consumption through detection data. A model for evaluating the proposed algorithm is also established.
format article
author Ge Liu
Baiqing Liu
author_facet Ge Liu
Baiqing Liu
author_sort Ge Liu
title Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception
title_short Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception
title_full Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception
title_fullStr Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception
title_full_unstemmed Study on Heart Rate and Energy Expenditure in College Sports Training Based on Multisensor Perception
title_sort study on heart rate and energy expenditure in college sports training based on multisensor perception
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/2f05b57256aa4b519a5c8dfd76d0b022
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AT baiqingliu studyonheartrateandenergyexpenditureincollegesportstrainingbasedonmultisensorperception
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