Sports Injury Risk Assessment Based on Blockchain and Internet of Things

With the increase of people’s exercise in today’s society, how to exercise scientifically and healthily has attracted much attention. Therefore, sports injury risk assessment and monitoring system has attracted more and more attention in real-time, flexibility, intelligence, and other aspects. To so...

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Autor principal:	Jihua Liu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/d8cc8f277c8944b6ae4bedaf7f800649
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spelling	oai:doaj.org-article:d8cc8f277c8944b6ae4bedaf7f8006492021-11-08T02:37:06ZSports Injury Risk Assessment Based on Blockchain and Internet of Things1687-726810.1155/2021/6820728https://doaj.org/article/d8cc8f277c8944b6ae4bedaf7f8006492021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6820728https://doaj.org/toc/1687-7268With the increase of people’s exercise in today’s society, how to exercise scientifically and healthily has attracted much attention. Therefore, sports injury risk assessment and monitoring system has attracted more and more attention in real-time, flexibility, intelligence, and other aspects. To solve the above problems, this paper proposes a sports injury risk assessment based on blockchain and Internet of Things. By introducing computational power weight, a computational power balance D-H algorithm based on Internet of Things blockchain network architecture is proposed. It can provide a secure and trusted interactive environment for the Internet of Things. On the basis of blockchain and Internet of Things, a multisensor data fusion algorithm is proposed to be applied to the analysis and evaluation of sports injury. A variety of physiological parameters of human motion state are collected through multisensor, the collected physiological parameters are processed by data fusion, and finally, sports injury risk assessment is carried out. The built system takes the embedded esp8266wifi module as the hardware processing core and uses body temperature sensor, blood pressure sensor, EMG sensor, and pulse sensor to form wearable devices. By wearing wearable devices, four human physiological parameters such as body temperature, blood pressure, electromyography, and pulse can be collected. In the process of decision level fusion, different weights are set for the focal elements causing information conflict, and the optimized D-S evidence theory algorithm is used. Thus, according to the data detected by multisensor, the injury risk of user motion state is evaluated.Jihua 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 Jihua Liu Sports Injury Risk Assessment Based on Blockchain and Internet of Things
description	With the increase of people’s exercise in today’s society, how to exercise scientifically and healthily has attracted much attention. Therefore, sports injury risk assessment and monitoring system has attracted more and more attention in real-time, flexibility, intelligence, and other aspects. To solve the above problems, this paper proposes a sports injury risk assessment based on blockchain and Internet of Things. By introducing computational power weight, a computational power balance D-H algorithm based on Internet of Things blockchain network architecture is proposed. It can provide a secure and trusted interactive environment for the Internet of Things. On the basis of blockchain and Internet of Things, a multisensor data fusion algorithm is proposed to be applied to the analysis and evaluation of sports injury. A variety of physiological parameters of human motion state are collected through multisensor, the collected physiological parameters are processed by data fusion, and finally, sports injury risk assessment is carried out. The built system takes the embedded esp8266wifi module as the hardware processing core and uses body temperature sensor, blood pressure sensor, EMG sensor, and pulse sensor to form wearable devices. By wearing wearable devices, four human physiological parameters such as body temperature, blood pressure, electromyography, and pulse can be collected. In the process of decision level fusion, different weights are set for the focal elements causing information conflict, and the optimized D-S evidence theory algorithm is used. Thus, according to the data detected by multisensor, the injury risk of user motion state is evaluated.
format	article
author	Jihua Liu
author_facet	Jihua Liu
author_sort	Jihua Liu
title	Sports Injury Risk Assessment Based on Blockchain and Internet of Things
title_short	Sports Injury Risk Assessment Based on Blockchain and Internet of Things
title_full	Sports Injury Risk Assessment Based on Blockchain and Internet of Things
title_fullStr	Sports Injury Risk Assessment Based on Blockchain and Internet of Things
title_full_unstemmed	Sports Injury Risk Assessment Based on Blockchain and Internet of Things
title_sort	sports injury risk assessment based on blockchain and internet of things
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/d8cc8f277c8944b6ae4bedaf7f800649
work_keys_str_mv	AT jihualiu sportsinjuryriskassessmentbasedonblockchainandinternetofthings
_version_	1718443046891159552

Sports Injury Risk Assessment Based on Blockchain and Internet of Things

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