Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review

Bibliographic Details
Main Author: Passos, João
Publication Date: 2021
Other Authors: Lopes, Sérgio Ivan, Clemente, Filipe, Moreira, Pedro Miguel, Rico-González, Markel, Bezerra, Pedro, Rodrigues, Luís Paulo
Format: Other
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/20.500.11960/2865
Summary: Wearable and Internet of Things (IoT) technologies in sports open a new era in athlete’s training, not only for performance monitoring and evaluation but also for fitness assessment. These technologies rely on sensor systems that collect, process and transmit relevant data, such as biomarkers and/or other performance indicators that are crucial to evaluate the evolution of the athlete’s condition, and therefore potentiate their performance. This work aims to identify and summarize recent studies that have used wearables and IoT technologies and discuss its applicability for fitness assessment. A systematic review of electronic databases (WOS, CCC, DIIDW, KJD, MEDLINE, RSCI, SCIELO, IEEEXplore, PubMed, SPORTDiscus, Cochrane and Web of Science) was undertaken according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. From the 280 studies initially identified, 20 were fully examined in terms of hardware and software and their applicability for fitness assessment. Results have shown that wearable and IoT technologies have been used in sports not only for fitness assessment but also for monitoring the athlete’s internal and external workloads, employing physiological status monitoring and activity recognition and tracking techniques. However, the maturity level of such technologies is still low, particularly with the need for the acquisition of more—and more effective—biomarkers regarding the athlete’s internal workload, which limits its wider adoption by the sports community.
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spelling Wearables and internet of things (IoT) technologies for fitness assessment : a systematic reviewWearablesSmart wearablesIoTIoT in sportsFitness assessmentWearable and Internet of Things (IoT) technologies in sports open a new era in athlete’s training, not only for performance monitoring and evaluation but also for fitness assessment. These technologies rely on sensor systems that collect, process and transmit relevant data, such as biomarkers and/or other performance indicators that are crucial to evaluate the evolution of the athlete’s condition, and therefore potentiate their performance. This work aims to identify and summarize recent studies that have used wearables and IoT technologies and discuss its applicability for fitness assessment. A systematic review of electronic databases (WOS, CCC, DIIDW, KJD, MEDLINE, RSCI, SCIELO, IEEEXplore, PubMed, SPORTDiscus, Cochrane and Web of Science) was undertaken according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. From the 280 studies initially identified, 20 were fully examined in terms of hardware and software and their applicability for fitness assessment. Results have shown that wearable and IoT technologies have been used in sports not only for fitness assessment but also for monitoring the athlete’s internal and external workloads, employing physiological status monitoring and activity recognition and tracking techniques. However, the maturity level of such technologies is still low, particularly with the need for the acquisition of more—and more effective—biomarkers regarding the athlete’s internal workload, which limits its wider adoption by the sports community.2022-11-22T15:31:07Z2021-08-11T00:00:00Z2021-08-112022-11-21T17:41:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/otherapplication/pdfhttp://hdl.handle.net/20.500.11960/2865eng10.3390/s21165418Passos, JoãoLopes, Sérgio IvanClemente, FilipeMoreira, Pedro MiguelRico-González, MarkelBezerra, PedroRodrigues, Luís Pauloinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-04-11T08:14:01Zoai:repositorio.ipvc.pt:20.500.11960/2865Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:29:51.809686Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
title Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
spellingShingle Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
Passos, João
Wearables
Smart wearables
IoT
IoT in sports
Fitness assessment
title_short Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
title_full Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
title_fullStr Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
title_full_unstemmed Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
title_sort Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
author Passos, João
author_facet Passos, João
Lopes, Sérgio Ivan
Clemente, Filipe
Moreira, Pedro Miguel
Rico-González, Markel
Bezerra, Pedro
Rodrigues, Luís Paulo
author_role author
author2 Lopes, Sérgio Ivan
Clemente, Filipe
Moreira, Pedro Miguel
Rico-González, Markel
Bezerra, Pedro
Rodrigues, Luís Paulo
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Passos, João
Lopes, Sérgio Ivan
Clemente, Filipe
Moreira, Pedro Miguel
Rico-González, Markel
Bezerra, Pedro
Rodrigues, Luís Paulo
dc.subject.por.fl_str_mv Wearables
Smart wearables
IoT
IoT in sports
Fitness assessment
topic Wearables
Smart wearables
IoT
IoT in sports
Fitness assessment
description Wearable and Internet of Things (IoT) technologies in sports open a new era in athlete’s training, not only for performance monitoring and evaluation but also for fitness assessment. These technologies rely on sensor systems that collect, process and transmit relevant data, such as biomarkers and/or other performance indicators that are crucial to evaluate the evolution of the athlete’s condition, and therefore potentiate their performance. This work aims to identify and summarize recent studies that have used wearables and IoT technologies and discuss its applicability for fitness assessment. A systematic review of electronic databases (WOS, CCC, DIIDW, KJD, MEDLINE, RSCI, SCIELO, IEEEXplore, PubMed, SPORTDiscus, Cochrane and Web of Science) was undertaken according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. From the 280 studies initially identified, 20 were fully examined in terms of hardware and software and their applicability for fitness assessment. Results have shown that wearable and IoT technologies have been used in sports not only for fitness assessment but also for monitoring the athlete’s internal and external workloads, employing physiological status monitoring and activity recognition and tracking techniques. However, the maturity level of such technologies is still low, particularly with the need for the acquisition of more—and more effective—biomarkers regarding the athlete’s internal workload, which limits its wider adoption by the sports community.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-11T00:00:00Z
2021-08-11
2022-11-22T15:31:07Z
2022-11-21T17:41:11Z
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