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

2018-10-23Journal article Open access
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dc.contributor.authorGordalina, Gonçalo
dc.contributor.authorFigueiredo, João
dc.contributor.authorMartinho, Ricardo
dc.contributor.authorRijo, Rui
dc.contributor.authorCorreia, Pedro
dc.contributor.authorAssunção, Pedro A. Amado
dc.contributor.authorSeco, Alexandra
dc.contributor.authorPires, Gabriel
dc.contributor.authorOliveira, Luís
dc.contributor.authorFonseca-Pinto, Rui
dc.date.accessioned2018-11-12T14:55:01Z
dc.date.available2018-11-12T14:55:01Z
dc.date.issued2018-10-23
dc.descriptionAcknowledgements This work was supported by Fundação para a Ciência e Tecnologia FCT- Portugal, under the scope of MOVIDA project: 02/SAICT/2016 - 23878.
dc.description.abstractAccording 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.procs.2018.10.007pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.8/3644
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.subjectMobile Healthpt_PT
dc.subjecteHealthpt_PT
dc.subjectArtifical Intelligencept_PT
dc.subjectAdaptive Surveillancept_PT
dc.titleTracking human routines towards adaptive monitoring: the MOVIDA.domus platformpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9876 - Politécnicos/SAICT-POL%2F23878%2F2016/PT
oaire.citation.endPage48pt_PT
oaire.citation.startPage41pt_PT
oaire.citation.volume138pt_PT
oaire.fundingStream9876 - Politécnicos
person.familyNameMartinho
person.familyNameRijo
person.familyNameAssunção
person.familyNameAbreu Henriques Seco
person.familyNameFonseca-Pinto
person.givenNameRicardo
person.givenNameRui
person.givenNamePedro
person.givenNameMaria Alexandra
person.givenNameRui
person.identifier.ciencia-idF51E-9BB5-EF92
person.identifier.ciencia-id6811-3984-C17B
person.identifier.ciencia-id681D-C547-B184
person.identifier.orcid0000-0003-1157-7510
person.identifier.orcid0000-0002-9348-0474
person.identifier.orcid0000-0001-9539-8311
person.identifier.orcid0000-0001-9905-9886
person.identifier.orcid0000-0001-6774-5363
person.identifier.ridK-8277-2013
person.identifier.ridA-4827-2017
person.identifier.ridK-9449-2014
person.identifier.scopus-author-id25823103700
person.identifier.scopus-author-id36861366200
person.identifier.scopus-author-id6701838347
person.identifier.scopus-author-id26039086400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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