The Wearable Physical Fitness Training Device Based on Fuzzy Theory

Mobile Edge Computing and Communication (MECC) can be deployed in close proximity with sensing devices and act as middleware between cloud and local networks. The health and fitness movement has become extremely popular recently. Endurance activities, such as marathons, triathlons, and cycling have...

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Autores principales:	Yu-Xiang Zhao, Zheng-Xian Lu, Yi-Zeng Hsieh, Shih-Syun Lin, Pei-Ying Chiang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	MECC wearable device Internet of Things fitness fuzzy theory Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/e98c7d83fa6f4b1baf7a387613d39e12
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spelling	oai:doaj.org-article:e98c7d83fa6f4b1baf7a387613d39e122021-11-11T15:03:35ZThe Wearable Physical Fitness Training Device Based on Fuzzy Theory10.3390/app112199762076-3417https://doaj.org/article/e98c7d83fa6f4b1baf7a387613d39e122021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9976https://doaj.org/toc/2076-3417Mobile Edge Computing and Communication (MECC) can be deployed in close proximity with sensing devices and act as middleware between cloud and local networks. The health and fitness movement has become extremely popular recently. Endurance activities, such as marathons, triathlons, and cycling have also grown in popularity. However, with more people participating in these activities, more accidents and injuries occur—ranging from heat stroke, to heart attacks, shock, or hypoxia. All physical training activities include a risk of injury and accidents. Therefore, any research that offers a means of reducing injury risk will significantly contribute to the personal fitness field. Moreover, with the growing popularity of wearable devices and the rise of the MECC, the development and application of wearable devices that can connect to the MECC has become widespread, producing many new innovations. Although many wearable devices, such as wrist straps and smart watches, are available and able to detect individual physiological data, they cannot monitor the human body in a state of motion. Therefore, this study proposes a set of monitoring parameters for a novel wearable device connected to the MECC based on fitness management to assist fitness trainers in effective prompted strength training, and to offer timely warnings in the event of an injury risk. The data collected by the monitoring device using fuzzy theory include risk factor, body temperature, heart rate, and blood oxygen concentration. The proposed system can display in real-time the current physiological state of a wearer/user. The introduction of this device will hopefully enable trainers to immediately and effectively control and monitor the intensity of a training session, while increasing training safety, and offer crucial and immediate diagnostic information so that the correct treatment can be applied without delay in the event of injury.Yu-Xiang ZhaoZheng-Xian LuYi-Zeng HsiehShih-Syun LinPei-Ying ChiangMDPI AGarticleMECCwearable deviceInternet of Thingsfitnessfuzzy theoryTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9976, p 9976 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MECC wearable device Internet of Things fitness fuzzy theory Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	MECC wearable device Internet of Things fitness fuzzy theory Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Yu-Xiang Zhao Zheng-Xian Lu Yi-Zeng Hsieh Shih-Syun Lin Pei-Ying Chiang The Wearable Physical Fitness Training Device Based on Fuzzy Theory
description	Mobile Edge Computing and Communication (MECC) can be deployed in close proximity with sensing devices and act as middleware between cloud and local networks. The health and fitness movement has become extremely popular recently. Endurance activities, such as marathons, triathlons, and cycling have also grown in popularity. However, with more people participating in these activities, more accidents and injuries occur—ranging from heat stroke, to heart attacks, shock, or hypoxia. All physical training activities include a risk of injury and accidents. Therefore, any research that offers a means of reducing injury risk will significantly contribute to the personal fitness field. Moreover, with the growing popularity of wearable devices and the rise of the MECC, the development and application of wearable devices that can connect to the MECC has become widespread, producing many new innovations. Although many wearable devices, such as wrist straps and smart watches, are available and able to detect individual physiological data, they cannot monitor the human body in a state of motion. Therefore, this study proposes a set of monitoring parameters for a novel wearable device connected to the MECC based on fitness management to assist fitness trainers in effective prompted strength training, and to offer timely warnings in the event of an injury risk. The data collected by the monitoring device using fuzzy theory include risk factor, body temperature, heart rate, and blood oxygen concentration. The proposed system can display in real-time the current physiological state of a wearer/user. The introduction of this device will hopefully enable trainers to immediately and effectively control and monitor the intensity of a training session, while increasing training safety, and offer crucial and immediate diagnostic information so that the correct treatment can be applied without delay in the event of injury.
format	article
author	Yu-Xiang Zhao Zheng-Xian Lu Yi-Zeng Hsieh Shih-Syun Lin Pei-Ying Chiang
author_facet	Yu-Xiang Zhao Zheng-Xian Lu Yi-Zeng Hsieh Shih-Syun Lin Pei-Ying Chiang
author_sort	Yu-Xiang Zhao
title	The Wearable Physical Fitness Training Device Based on Fuzzy Theory
title_short	The Wearable Physical Fitness Training Device Based on Fuzzy Theory
title_full	The Wearable Physical Fitness Training Device Based on Fuzzy Theory
title_fullStr	The Wearable Physical Fitness Training Device Based on Fuzzy Theory
title_full_unstemmed	The Wearable Physical Fitness Training Device Based on Fuzzy Theory
title_sort	wearable physical fitness training device based on fuzzy theory
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e98c7d83fa6f4b1baf7a387613d39e12
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The Wearable Physical Fitness Training Device Based on Fuzzy Theory

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