An IoT-aware architecture for collecting and managing data related to elderly behavior

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dc.contributor.authorAlmeida, Aitor
dc.contributor.authorFiore, Alessandro
dc.contributor.authorMainetti, Luca
dc.contributor.authorMulero, Rubén
dc.contributor.authorPatrono, Luigi
dc.contributor.authorRametta, Piercosimo
dc.date.accessioned2025-12-16T12:15:21Z
dc.date.available2025-12-16T12:15:21Z
dc.date.issued2017-12-28
dc.date.updated2025-12-16T12:15:21Z
dc.description.abstractThe world population will be made up of a growing number of elderly people in the near future. Aged people are characterized by some physical and cognitive diseases, like mild cognitive impairment (MCI) and frailty, that, if not timely diagnosed, could turn into more severe diseases, like Alzheimer disease, thus implying high costs for treatments and cares. Information and Communication Technologies (ICTs) enabling the Internet of Tings (IoT) can be adopted to create frameworks for monitoring elderly behavior which, alongside normal clinical procedures, can help geriatricians to early detect behavioral changes related to such pathologies and to provide customized interventions. As part of the City4Age project, this work describes a novel approach for collecting and managing data about elderly behavior during their normal activities. The data capturing layer is an unobtrusive and low-cost sensing infrastructure abstracting the heterogeneity of physical devices, while the data management layer easily manages the huge quantity of sensed data, giving them semantic meaning and fostering data shareability. This work provides a functional validation of the proposed architecture and introduces how the data it manages can be used by the whole City4Age platform to early identify risks related to MCI/frailty and promptly intervene.en
dc.description.sponsorshipThe authors acknowledge the contributions of all partners of the City4Age Consortium: many of the ideas and concepts described in this work are due to them. The City4Ageproject has received funding from European Union’s Horizon2020 Research and Innovation programme under GrantAgreement no. 689731en
dc.identifier.citationAlmeida, A., Fiore, A., Mainetti, L., Mulero, R., Patrono, L., & Rametta, P. (2017). An IoT-aware architecture for collecting and managing data related to elderly behavior. Wireless Communications and Mobile Computing, 2017. https://doi.org/10.1155/2017/5051915
dc.identifier.doi10.1155/2017/5051915
dc.identifier.eissn1530-8677
dc.identifier.issn1530-8669
dc.identifier.urihttps://hdl.handle.net/20.500.14454/4590
dc.language.isoeng
dc.publisherHindawi Limited
dc.rightsCopyright © 2017 Aitor Almeida et al.
dc.titleAn IoT-aware architecture for collecting and managing data related to elderly behavioren
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.titleWireless Communications and Mobile Computing
oaire.citation.volume2017
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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