Wearables and internet of things (IoT) technologies for fitness assessment : a systematic review
| Main Author: | |
|---|---|
| Publication Date: | 2021 |
| Other Authors: | , , , , , |
| 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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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. |
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2021 |
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2021-08-11T00:00:00Z 2021-08-11 2022-11-22T15:31:07Z 2022-11-21T17:41:11Z |
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eng |
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10.3390/s21165418 |
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