Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/68093

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dc.contributor.authorMartinho, Diogopor
dc.contributor.authorCarneiro, Joãopor
dc.contributor.authorNovais, Paulopor
dc.contributor.authorNeves, Josépor
dc.contributor.authorCorchado, Juanpor
dc.contributor.authorMarreiros, Goretipor
dc.date.accessioned2020-11-10T10:30:12Z-
dc.date.available2020-11-10T10:30:12Z-
dc.date.issued2019-
dc.identifier.isbn9783030302436por
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/68093-
dc.description.abstractThe number of elderly people living alone is increasing. Consequently, a lot of research works have been addressing this issue in order to propose solutions that can enhance the quality of life of elderly people. Most of them have been concerned in dealing with objective issues such as forgetfulness or detecting falls. In this paper, we propose a conceptual approach of a system that intends to enhance the daily sense of user’s well-being. For that, our proposal consists in a system that works as a social network and a smartwatch application that works unobtrusively and collects the user’s physiological data. In addition, we debate how important features such as to detect user’s affective states and to potentiate user’s memory could be implemented. Our study shows that there are still some important limitations which affect the success of applications built in the context of elderly care and which are mostly related with accuracy and usability of this kind of system. However, we believe that with our approach we will be able to address some of those limitations and define a system that can enhance the well-being of elderly people and improve their cognitive capabilities.por
dc.description.sponsorshipThe work presented in this paper has been developed under the EUREKA - ITEA3 Project PHE (PHE-16040), and by National Funds through FCT (Fundação para a Ciência e a Tecnologia) under the projects UID/EEA/00760/2019 and UID/CEC/00319/2019 and by NORTE-01-0247-FEDER-033275 (AIRDOC - “Aplicação móvel Inteligente para suporte individualizado e monitorização da função e sons Respiratórios de Doentes Obstrutivos Crónicos ”) by NORTE 2020 (Programa Operacional Regional do Norte).por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationUID/EEA/00760/2019por
dc.relationUID/CEC/00319/2019por
dc.rightsopenAccesspor
dc.subjectAffective computingpor
dc.subjectAffective wearablespor
dc.subjectAmbient assisted livingpor
dc.subjectCognitive assistantpor
dc.subjectElderly carepor
dc.subjectGamificationpor
dc.titleA conceptual approach to enhance the well-being of elderly peoplepor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-030-30244-3_5por
oaire.citationStartPage50por
oaire.citationEndPage61por
oaire.citationVolume11805 LNAIpor
dc.date.updated2020-11-10T10:26:13Z-
dc.identifier.doi10.1007/978-3-030-30244-3_5por
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.subject.wosScience & Technologypor
sdum.export.identifier7491-
sdum.journalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
sdum.conferencePublicationPROGRESS IN ARTIFICIAL INTELLIGENCE, PT IIpor
oaire.versionAMpor
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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