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IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing

2021-09-09Artigo científico Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências Físicas
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosCiências Naturais::Ciências Químicas
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosCiências Naturais::Ciências Biológicas
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorFuentes, Daniel
dc.contributor.authorCorreia, Luís
dc.contributor.authorCosta, Nuno
dc.contributor.authorReis, Arsénio
dc.contributor.authorRibeiro, José
dc.contributor.authorRabadão, Carlos
dc.contributor.authorBarroso, João
dc.contributor.authorPereira, António
dc.date.accessioned2026-02-09T17:13:54Z
dc.date.available2026-02-09T17:13:54Z
dc.date.issued2021-09-09
dc.description.abstractThe Portuguese population is aging at an increasing rate, which introduces new problems, particularly in rural areas, where the population is small and widely spread throughout the territory. These people, mostly elderly, have low income and are often isolated and socially excluded. This work researches and proposes an affordable Ambient Assisted Living (AAL)‐based solution to monitor the activities of elderly individuals, inside their homes, in a pervasive and non-intrusive way, while preserving their privacy. The solution uses a set of low‐cost IoT sensor devices, computer vision algorithms and reasoning rules, to acquire data and recognize the activities performed by a subject inside a home. A conceptual architecture and a functional prototype were developed, the prototype being successfully tested in an environment similar to a real case scenario. The system and the underlying concept can be used as a building block for remote and distributed elderly care services, in which the elderly live autonomously in their homes, but have the attention of a caregiver when needed.eng
dc.description.sponsorshipAcknowledgments The authors acknowledge the Computer Science and Communication Research Center for the facilities granted in the implementation of part of this work, in the context of the Smart IoT Ecosystems research line and the Mobile Computing Laboratory of the School of Technology and Management of the Polytechnic of Leiria. The authors also acknowledge the authorship of some of the images used in some of the visual content created using the tool “diagrams.net, accessed on 20 January 2021” and the free content available in “iconfinder.com, accessed on 20 January 2021”, “pixabay.com, accessed on 20 January 2021”, and “flaticon.com, accessed on 20 January 2021”. Funding This work was supported by Project “Digitalization of end-of-line distributed testers for antennas (“D-EoL-TA)”, operation number: POCI-01-0247-FEDER-049698, financed by the Program COMPETE 2020, Portugal 2020, by National Funds through the Portuguese funding agency, FCT-Fundação para a Ciência e a Tecnologia, within project UIDB/04524/2020, and was partially supported by Portuguese National funds through FITEC-Programa Interface, with reference CIT “INOV-INESC Inovação-Financiamento Base” and by Portuguese Fundação para a Ciência e a Tecnologia-FCT, I.P., under the project UIDB/50014/2020.
dc.identifier.citationFuentes, D., Correia, L., Costa, N., Reis, A., Ribeiro, J., Rabadão, C., Barroso, J., & Pereira, A. (2021). IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing. Sensors, 21(18), 6051. https://doi.org/10.3390/s21186051.
dc.identifier.doi10.3390/s21186051
dc.identifier.eissn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.8/15579
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relationResearch Center in Informatics and Communications
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.relation.hasversionhttps://www.mdpi.com/1424-8220/21/18/6051
dc.relation.ispartofSensors
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectcomputer vision
dc.subjectimage analysis
dc.subjectinternet of things
dc.subjectmonitoring of elderly
dc.subjectlow cost
dc.titleIndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processingeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Center in Informatics and Communications
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04524%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT
oaire.citation.endPage21
oaire.citation.issue18
oaire.citation.startPage1
oaire.citation.titleSensors
oaire.citation.volume21
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLopes Fuentes
person.familyNameCorreia
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person.familyNameRibeiro
person.familyNameRabadão
person.familyNamePereira
person.givenNameDaniel Alexander
person.givenNameLuís
person.givenNameNuno
person.givenNameJosé
person.givenNameCarlos
person.givenNameAntónio
person.identifier662638
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person.identifier.ciencia-id2C1C-E900-6A57
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person.identifier.orcid0000-0001-5062-1241
person.identifier.ridM-3235-2013
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person.identifier.scopus-author-id56890641000
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project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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The Portuguese population is aging at an increasing rate, which introduces new problems, particularly in rural areas, where the population is small and widely spread throughout the territory. These people, mostly elderly, have low income and are often isolated and socially excluded. This work researches and proposes an affordable Ambient Assisted Living (AAL)‐based solution to monitor the activities of elderly individuals, inside their homes, in a pervasive and non-intrusive way, while preserving their privacy. The solution uses a set of low‐cost IoT sensor devices, computer vision algorithms and reasoning rules, to acquire data and recognize the activities performed by a subject inside a home. A conceptual architecture and a functional prototype were developed, the prototype being successfully tested in an environment similar to a real case scenario. The system and the underlying concept can be used as a building block for remote and distributed elderly care services, in which the elderly live autonomously in their homes, but have the attention of a caregiver when needed.
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