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dc.contributor.authorSilva, Fábioes_ES
dc.contributor.authorAnalide, Cesares_ES
dc.date.accessioned2016-06-08T08:42:53Z
dc.date.available2016-06-08T08:42:53Z
dc.date.issued2015-05-10es_ES
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 4 (2015)es_ES
dc.identifier.issn2255-2863es_ES
dc.identifier.urihttp://hdl.handle.net/10366/129350
dc.description.abstractThe growth of personal sensors and the ability to sensorize attributes connected with the physical beings and environments are increasing. Initiatives such as Internet of Things (IoT)) aim to connect devices and people through communication channels in order to automate and fuel interaction. Targeted approaches can be found on the Smart Cities projects which use the IoT to gather data from people and attributes related to city management. Though good for management of new cities, well-being should as well be of principal importance. It regards users higher than infrastructure and managerial data. Taking lessons from ergonomic studies, health studies and user habits it is possible to track and monitor user daily living. Moreover, the link between user living conditions and sparse events such as illness, indispositions can be tracked to well-being data through autonomous services. Such application is detailed in the approach categorized by this article and the research presentedes_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherEdiciones Universidad de Salamanca (España)es_ES
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputaciónes_ES
dc.subjectInformáticaes_ES
dc.subjectComputinges_ES
dc.subjectInformation Technologyes_ES
dc.titleTracking Context-Aware Well-Being through Intelligent Environmentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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