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Data driven multi-agent m-health system to characterize the daily activities of elderly people

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dc.contributor.authorMendes, Solange
dc.contributor.authorQueiroz, Jonas
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2018-02-26T14:46:32Z
dc.date.available2018-02-26T14:46:32Z
dc.date.issued2017
dc.description.abstractWith the continuous growing of aging population, the society is facing new challenges, namely the implementation of healthcare services for older people, as well as the promotion of the active aging and well-being. These challenges imply the optimization of these services through biomedical, physical, psychological and socio-environmental interventions. ICT technologies can support the implementation of these healthcare services, e.g., the use of wearable devices to collect the physiological data, cloud technology to store big amounts of data and advanced data analytics algorithms to extract valuable conclusions and actionable knowledge. This work proposes a multi-agent system driven data analysis approach to characterize the daily physiological conditions of a group of elderly people institutionalized in a nursing home, supporting the healthcare professionals to monitor their behavior and promote an active aging. The individual' data were collected by a set of Fitbit Charge HR wristbands and analyzed by clustering algorithms, running in the distributed autonomous agents, allowing to identify and characterize the individuals' daily habits and physiological conditionspt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMendes, Solange; Queiroz, Jonas; Leitão, Paulo (2017). Data driven multi-agent m-health system to characterize the daily activities of elderly people. In 12th Iberian Conference on Information Systems and Technologies, CISTI 2017. Portopt_PT
dc.identifier.doi10.23919/CISTI.2017.7975725pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/15999
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectClusteringpt_PT
dc.subjectData analysispt_PT
dc.subjectMobile healthpt_PT
dc.subjectMulti-agent systempt_PT
dc.subjectWearable devicespt_PT
dc.titleData driven multi-agent m-health system to characterize the daily activities of elderly peoplept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePortopt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title12th Iberian Conference on Information Systems and Technologies, CISTI 2017pt_PT
person.familyNameQueiroz
person.familyNameLeitão
person.givenNameJonas
person.givenNamePaulo
person.identifierhttps://scholar.google.com/citations?user=UnhjE9gAAAAJ
person.identifierA-8390-2011
person.identifier.ciencia-idBF12-BBDD-CCC5
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0001-5416-4762
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id57188655139
person.identifier.scopus-author-id35584388900
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication49c3a549-2500-4d74-8657-9d9baafffea3
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery68d9eb25-ad4f-439b-aeb2-35e8708644cc

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