Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer

Detalhes bibliográficos
Autor(a) principal: Sigcha, Luis
Data de Publicação: 2018
Outros Autores: Pavón, Ignacio, Arezes, P., Costa, Nélson, De Arcas, Guillermo, López, Juan Manuel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/60759
Resumo: Wearable technology has had a significant growth in the last years; this is particularly true of smartwatches, due to their potential advantages and ease of use. These smart devices integrate sensors that can be potentially used within industrial settings and for several applications, such as safety, monitoring, and the identification of occupational risks. The accelerometer is one of the main sensors integrated into these devices. However, several studies have identified that sensors integrated into smart devices may present inaccuracies during data acquisition, which may influence the performance of their potential applications. This article presents an analysis from the metrological point of view to characterize the amplitude and frequency response of the integrated accelerometers in three currently available commercial smartwatches, and it also includes an analysis of the uncertainties associated with these measurements by adapting the procedures described in several International Organization for Standardization (ISO) standards. The results show that despite the technical limitations produced by the factory configuration, these devices can be used in various applications related to occupational risk assessment. Opportunities for improvement have also been identified, which will allow us to take advantage of this technology in several innovative applications within industrial settings and, in particular, for occupational health purposes.
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spelling Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometerwearablerisk assessmentsmartwatchesmicroelectronic mechanical systems (MEMS) accelerometersScience & TechnologyWearable technology has had a significant growth in the last years; this is particularly true of smartwatches, due to their potential advantages and ease of use. These smart devices integrate sensors that can be potentially used within industrial settings and for several applications, such as safety, monitoring, and the identification of occupational risks. The accelerometer is one of the main sensors integrated into these devices. However, several studies have identified that sensors integrated into smart devices may present inaccuracies during data acquisition, which may influence the performance of their potential applications. This article presents an analysis from the metrological point of view to characterize the amplitude and frequency response of the integrated accelerometers in three currently available commercial smartwatches, and it also includes an analysis of the uncertainties associated with these measurements by adapting the procedures described in several International Organization for Standardization (ISO) standards. The results show that despite the technical limitations produced by the factory configuration, these devices can be used in various applications related to occupational risk assessment. Opportunities for improvement have also been identified, which will allow us to take advantage of this technology in several innovative applications within industrial settings and, in particular, for occupational health purposes.This research was partially funded by Instrumentation and Applied Acoustics Research Group (I2A2) ETSI Industriales. Universidad Politécnica de Madrid. And was also supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT- Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013,and Fundación Prevent (X Convocatoria de becas I+D en prevención de riesgos laborales).info:eu-repo/semantics/publishedVersionMultidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoSigcha, LuisPavón, IgnacioArezes, P.Costa, NélsonDe Arcas, GuillermoLópez, Juan Manuel2018-11-062018-11-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/60759eng1424-822010.3390/s1811380530404241info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:54:18Zoai:repositorium.sdum.uminho.pt:1822/60759Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:53:48.544968Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
title Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
spellingShingle Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
Sigcha, Luis
wearable
risk assessment
smartwatches
microelectronic mechanical systems (MEMS) accelerometers
Science & Technology
title_short Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
title_full Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
title_fullStr Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
title_full_unstemmed Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
title_sort Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
author Sigcha, Luis
author_facet Sigcha, Luis
Pavón, Ignacio
Arezes, P.
Costa, Nélson
De Arcas, Guillermo
López, Juan Manuel
author_role author
author2 Pavón, Ignacio
Arezes, P.
Costa, Nélson
De Arcas, Guillermo
López, Juan Manuel
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Sigcha, Luis
Pavón, Ignacio
Arezes, P.
Costa, Nélson
De Arcas, Guillermo
López, Juan Manuel
dc.subject.por.fl_str_mv wearable
risk assessment
smartwatches
microelectronic mechanical systems (MEMS) accelerometers
Science & Technology
topic wearable
risk assessment
smartwatches
microelectronic mechanical systems (MEMS) accelerometers
Science & Technology
description Wearable technology has had a significant growth in the last years; this is particularly true of smartwatches, due to their potential advantages and ease of use. These smart devices integrate sensors that can be potentially used within industrial settings and for several applications, such as safety, monitoring, and the identification of occupational risks. The accelerometer is one of the main sensors integrated into these devices. However, several studies have identified that sensors integrated into smart devices may present inaccuracies during data acquisition, which may influence the performance of their potential applications. This article presents an analysis from the metrological point of view to characterize the amplitude and frequency response of the integrated accelerometers in three currently available commercial smartwatches, and it also includes an analysis of the uncertainties associated with these measurements by adapting the procedures described in several International Organization for Standardization (ISO) standards. The results show that despite the technical limitations produced by the factory configuration, these devices can be used in various applications related to occupational risk assessment. Opportunities for improvement have also been identified, which will allow us to take advantage of this technology in several innovative applications within industrial settings and, in particular, for occupational health purposes.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-06
2018-11-06T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/60759
url http://hdl.handle.net/1822/60759
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1424-8220
10.3390/s18113805
30404241
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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