Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices

Detalhes bibliográficos
Autor(a) principal: Pires, Ivan
Data de Publicação: 2018
Outros Autores: Garcia, Nuno M., Pombo, Nuno, Flórez-Revuelta, Francisco, Spinsante, Susanna
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/8264
Resumo: Sensors available on mobile devices allow the automatic identification of Activities of Daily Living (ADL). This paper describes an approach for the creation of a framework for the identification of ADL, taking into account several concepts, including data acquisition, data processing, data fusion, and pattern recognition. These concepts can be mapped onto different modules of the framework. The proposed framework should perform the identification of ADL without Internet connection, performing these tasks locally on the mobile device, taking in account the hardware and software limitations of these devices. The main purpose of this paper is to present a new approach for the creation of a framework for the recognition of ADL, analyzing the allowed sensors available in the mobile devices, and the existing methods available in the literature.
id RCAP_3132fed7efeb2283d9688efd824ae036
oai_identifier_str oai:ubibliorum.ubi.pt:10400.6/8264
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile DevicesHumansInternetSoftwareWireless TechnologyActivities of Daily LivingComputersPattern RecognitionAutomatedSensors available on mobile devices allow the automatic identification of Activities of Daily Living (ADL). This paper describes an approach for the creation of a framework for the identification of ADL, taking into account several concepts, including data acquisition, data processing, data fusion, and pattern recognition. These concepts can be mapped onto different modules of the framework. The proposed framework should perform the identification of ADL without Internet connection, performing these tasks locally on the mobile device, taking in account the hardware and software limitations of these devices. The main purpose of this paper is to present a new approach for the creation of a framework for the recognition of ADL, analyzing the allowed sensors available in the mobile devices, and the existing methods available in the literature.uBibliorumPires, IvanGarcia, Nuno M.Pombo, NunoFlórez-Revuelta, FranciscoSpinsante, Susanna2020-01-14T16:14:58Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/8264eng10.3390/s18020640info: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:RCAAP2023-12-15T09:48:09Zoai:ubibliorum.ubi.pt:10400.6/8264Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:48:38.359422Repositório 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 Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
title Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
spellingShingle Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
Pires, Ivan
Humans
Internet
Software
Wireless Technology
Activities of Daily Living
Computers
Pattern Recognition
Automated
title_short Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
title_full Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
title_fullStr Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
title_full_unstemmed Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
title_sort Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Sensors in Mobile Devices
author Pires, Ivan
author_facet Pires, Ivan
Garcia, Nuno M.
Pombo, Nuno
Flórez-Revuelta, Francisco
Spinsante, Susanna
author_role author
author2 Garcia, Nuno M.
Pombo, Nuno
Flórez-Revuelta, Francisco
Spinsante, Susanna
author2_role author
author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Pires, Ivan
Garcia, Nuno M.
Pombo, Nuno
Flórez-Revuelta, Francisco
Spinsante, Susanna
dc.subject.por.fl_str_mv Humans
Internet
Software
Wireless Technology
Activities of Daily Living
Computers
Pattern Recognition
Automated
topic Humans
Internet
Software
Wireless Technology
Activities of Daily Living
Computers
Pattern Recognition
Automated
description Sensors available on mobile devices allow the automatic identification of Activities of Daily Living (ADL). This paper describes an approach for the creation of a framework for the identification of ADL, taking into account several concepts, including data acquisition, data processing, data fusion, and pattern recognition. These concepts can be mapped onto different modules of the framework. The proposed framework should perform the identification of ADL without Internet connection, performing these tasks locally on the mobile device, taking in account the hardware and software limitations of these devices. The main purpose of this paper is to present a new approach for the creation of a framework for the recognition of ADL, analyzing the allowed sensors available in the mobile devices, and the existing methods available in the literature.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
2020-01-14T16:14:58Z
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/10400.6/8264
url http://hdl.handle.net/10400.6/8264
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.3390/s18020640
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.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
instname_str 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
_version_ 1799136380262023168

Registros relacionados