Occupational risk prevention through smartwatches: precision and uncertainty effects of the built-In accelerometer
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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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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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
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1799133135829467136 |