Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform

Detalhes bibliográficos
Autor(a) principal: Gordalina, Gonçalo
Data de Publicação: 2018
Outros Autores: Figueiredo, João, Martinho, Ricardo, Rijo, Rui, Correia, Pedro, Assunção, Pedro A. Amado, Seco, Alexandra, Pires, Gabriel, Oliveira, Luís, Fonseca-Pinto, Rui
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.8/3644
Resumo: Acknowledgements This work was supported by Fundação para a Ciência e Tecnologia FCT- Portugal, under the scope of MOVIDA project: 02/SAICT/2016 - 23878.
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spelling Tracking human routines towards adaptive monitoring: the MOVIDA.domus platformMobile HealtheHealthArtifical IntelligenceAdaptive SurveillanceAcknowledgements This work was supported by Fundação para a Ciência e Tecnologia FCT- Portugal, under the scope of MOVIDA project: 02/SAICT/2016 - 23878.According to estimates by the World Health Organization, the average life expectancy will continue to rise. This indicator, being a measure of success in terms of healthcare, is not synonymous with quality of life and will increase healthcare costs. Associated with this problem are also the changes in terms of the organization of society, which has not been able to solve these constraints of functional limitations, dementia, social isolation, and loneliness. This paper presents the concept of adaptive surveillance based on mobile technology and artificial intelligence, presented in the context of a global physical activity monitoring program (MOVIDA), in his domus dimension designed to the elderly people with some functional limitation or dementia. The proposed solution for an adaptive surveillance is thus to conduct direct supervision programs, to enroll persons who live alone or in nursing homes who need supervision without limiting their individual autonomy. The preliminary results show that it is possible to use the data obtained from a mobile smartphone to identify routines and use this information to identify daily patterns. Changes to these routine patterns can be used to generate alarms for caregivers.ElsevierIC-OnlineGordalina, GonçaloFigueiredo, JoãoMartinho, RicardoRijo, RuiCorreia, PedroAssunção, Pedro A. AmadoSeco, AlexandraPires, GabrielOliveira, LuísFonseca-Pinto, Rui2018-11-12T14:55:01Z2018-10-232018-10-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/3644eng10.1016/j.procs.2018.10.007info: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:RCAAP2024-01-17T15:47:37Zoai:iconline.ipleiria.pt:10400.8/3644Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:47:43.452725Repositório 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 Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
title Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
spellingShingle Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
Gordalina, Gonçalo
Mobile Health
eHealth
Artifical Intelligence
Adaptive Surveillance
title_short Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
title_full Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
title_fullStr Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
title_full_unstemmed Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
title_sort Tracking human routines towards adaptive monitoring: the MOVIDA.domus platform
author Gordalina, Gonçalo
author_facet Gordalina, Gonçalo
Figueiredo, João
Martinho, Ricardo
Rijo, Rui
Correia, Pedro
Assunção, Pedro A. Amado
Seco, Alexandra
Pires, Gabriel
Oliveira, Luís
Fonseca-Pinto, Rui
author_role author
author2 Figueiredo, João
Martinho, Ricardo
Rijo, Rui
Correia, Pedro
Assunção, Pedro A. Amado
Seco, Alexandra
Pires, Gabriel
Oliveira, Luís
Fonseca-Pinto, Rui
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv IC-Online
dc.contributor.author.fl_str_mv Gordalina, Gonçalo
Figueiredo, João
Martinho, Ricardo
Rijo, Rui
Correia, Pedro
Assunção, Pedro A. Amado
Seco, Alexandra
Pires, Gabriel
Oliveira, Luís
Fonseca-Pinto, Rui
dc.subject.por.fl_str_mv Mobile Health
eHealth
Artifical Intelligence
Adaptive Surveillance
topic Mobile Health
eHealth
Artifical Intelligence
Adaptive Surveillance
description Acknowledgements This work was supported by Fundação para a Ciência e Tecnologia FCT- Portugal, under the scope of MOVIDA project: 02/SAICT/2016 - 23878.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-12T14:55:01Z
2018-10-23
2018-10-23T00:00:00Z
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/10400.8/3644
url http://hdl.handle.net/10400.8/3644
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.procs.2018.10.007
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 Elsevier
publisher.none.fl_str_mv Elsevier
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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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