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Real-Time Low-Cost Active and Assisted Living for the Elderly

2019-06-23Conference paper Open access
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorAlmeida, António Henrique
dc.contributor.authorSantos, Ivo
dc.contributor.authorRodrigues, Joel
dc.contributor.authorFrazão, Luis
dc.contributor.authorRibeiro, José
dc.contributor.authorSilva, Fernando
dc.contributor.authorPereira, António
dc.date.accessioned2025-10-22T17:52:38Z
dc.date.available2025-10-22T17:52:38Z
dc.date.issued2019-06-23
dc.descriptionEISBN - 9783030240974
dc.descriptionConference name - 10th International Symposium on Ambient Intelligence, ISAmI 2019; Conference date - 26 June 2019 - 28 June 2019; Conference code - 227779
dc.descriptionFonte: https://www.researchgate.net/publication/333968343_Real-Time_Low-Cost_Active_and_Assisted_Living_for_the_Elderly
dc.descriptionAlmeida, António Henrique - 0000-0001-9203-5144 (antigo docente? - sem afiliação ao Politécnico de Leiria); Rodrigues, Joel - Scopus ID: 57202134781
dc.description.abstractThe aging of population in recent years and the increase in life expectancy is raising challenges for finding new ways to guarantee healthy and controlled activities for the elderly. Most of them prefer living in their houses than in a community center, even if they live alone or isolated from their family; at home, their normal routine activities and comfort makes them feel well. In this paper, an Active and Assisted Living (AAL) solution to detect irregular situations in everyday life of the elderly living alone is presented. By using low-cost sensors in an Internet of Things (IoT) architecture we aim to gather data in specific areas of an elderly’s house in order to give the system enough input to detect abnormal behavior. These sensors are non-intrusive to the elderly, do not disturb them, and do not force them to wear a device at all times. These sensors can also send information to edge computing devices that analyze the data in real time using machine learning algorithms and alert family or caretakers when an unusual situation arises. The proposed solution provides a system that monitors the main activities performed by the elderly and creates patterns based on that activity to achieve its results and is scalable in terms of sensors and data input.eng
dc.description.sponsorshipThis publication is funded by FCT - Fundação para a Ciência e Tecnologia, I.P., under the projects identified by UID/CEC/04524/2016 and UID/CEC/04524/2019.
dc.identifier.citationAlmeida, A.H. et al. (2020). Real-Time Low-Cost Active and Assisted Living for the Elderly. In: Novais, P., Lloret, J., Chamoso, P., Carneiro, D., Navarro, E., Omatu, S. (eds) Ambient Intelligence – Software and Applications –,10th International Symposium on Ambient Intelligence. ISAmI 2019. Advances in Intelligent Systems and Computing, vol 1006 . Springer, Cham. https://doi.org/10.1007/978-3-030-24097-4_19.
dc.identifier.doi10.1007/978-3-030-24097-4_19
dc.identifier.eissn2194-5365
dc.identifier.isbn9783030240967
dc.identifier.isbn9783030240974
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10400.8/14360
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationCentro de Investigação em Informática e Comunicações
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-030-24097-4_19
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.relation.ispartofAmbient Intelligence – Software and Applications –,10th International Symposium on Ambient Intelligence
dc.rights.uriN/A
dc.subjectActive and Assisted Living
dc.subjectEdge Computing
dc.subjectInternet of Things
dc.subjectAmbient Intelligence
dc.subjectMachine Learning
dc.subjectLow Cost
dc.subjectReal Time
dc.titleReal-Time Low-Cost Active and Assisted Living for the Elderlyeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleCentro de Investigação em Informática e Comunicações
oaire.awardURIhttp://hdl.handle.net/10400.8/14359
oaire.citation.conferenceDate2019-06
oaire.citation.conferencePlaceÁvila, Spain
oaire.citation.endPage9
oaire.citation.startPage1
oaire.citation.titleAdvances in Intelligent Systems and Computing
oaire.fundingStreamFinanciamento do Plano Estratégico de Unidades de I&D - 2019
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bcce
person.familyNameSantos
person.familyNameFrazão
person.familyNameRibeiro
person.familyNameSilva
person.familyNamePereira
person.givenNameIvo
person.givenNameLuis Alexandre Lopes
person.givenNameJosé
person.givenNameFernando
person.givenNameAntónio
person.identifier662638
person.identifier.ciencia-idFD1A-6044-70FD
person.identifier.ciencia-id0C1B-5E3F-6830
person.identifier.ciencia-id9D19-84F9-F1CA
person.identifier.ciencia-idE215-4F0F-33EC
person.identifier.orcid0000-0001-5148-0233
person.identifier.orcid0000-0003-2571-7940
person.identifier.orcid0000-0003-3019-1330
person.identifier.orcid0000-0001-9335-1851
person.identifier.orcid0000-0001-5062-1241
person.identifier.ridM-6163-2013
person.identifier.scopus-author-id55947747200
person.identifier.scopus-author-id24402946400
person.identifier.scopus-author-id7402230199
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The aging of population in recent years and the increase in life expectancy is raising challenges for finding new ways to guarantee healthy and controlled activities for the elderly. Most of them prefer living in their houses than in a community center, even if they live alone or isolated from their family; at home, their normal routine activities and comfort makes them feel well. In this paper, an Active and Assisted Living (AAL) solution to detect irregular situations in everyday life of the elderly living alone is presented. By using low-cost sensors in an Internet of Things (IoT) architecture we aim to gather data in specific areas of an elderly’s house in order to give the system enough input to detect abnormal behavior. These sensors are non-intrusive to the elderly, do not disturb them, and do not force them to wear a device at all times. These sensors can also send information to edge computing devices that analyze the data in real time using machine learning algorithms and alert family or caretakers when an unusual situation arises. The proposed solution provides a system that monitors the main activities performed by the elderly and creates patterns based on that activity to achieve its results and is scalable in terms of sensors and data input.
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