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dc.contributor.authorNebot, Àngela-
dc.contributor.authorDomènech, Sara-
dc.contributor.authorAlbino-Pires, Natália-
dc.contributor.authorMugica, Francisco José-
dc.contributor.authorBenali Bendahmane, Anass-
dc.contributor.authorPorta, Xènia-
dc.contributor.authorNebot, Oriol-
dc.contributor.authorSantos, Pedro M.-
dc.contributor.otherUniversitat Politènica de Catalunya-
dc.contributor.otherUniversitat Autònoma de Barcelona (UAB)-
dc.contributor.otherInstituto Politécnico de Coimbra-
dc.contributor.otherUniversitat Oberta de Catalunya (UOC)-
dc.contributor.otherUniversidad de Lusófona Humanidades e Tecnologias-
dc.date.accessioned2022-11-02T11:13:50Z-
dc.date.available2022-11-02T11:13:50Z-
dc.date.issued2022-05-15-
dc.identifier.citationNebot, A., Domènech, S., Albino-Pires, N., Mugica, F., Benali, A., Porta, X., Nebot, O. & Santos, P.M. (2022). LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy. International Journal of Environmental Research and Public Health, 19(10), 1-15. doi: 10.3390/ijerph19105997-
dc.identifier.issn1660-4601MIAR
-
dc.identifier.urihttp://hdl.handle.net/10609/146961-
dc.description.abstractReminiscence therapy (RT) consists of thinking about one’s own experiences through the presentation of memory-facilitating stimuli, and it has as its fundamental axis the activation of emotions. An innovative way of offering RT involves the use of technology-assisted applications, which must also satisfy the needs of the user. This study aimed to develop an AI-based computer application that recreates RT in a personalized way, meeting the characteristics of RT guided by a therapist or a caregiver. The material guiding RT focuses on intangible cultural heritage. The application incorporates facial expression analysis and reinforcement learning techniques, with the aim of identifying the user’s emotions and, with them, guiding the computer system that emulates RT dynamically and in real time. A pilot study was carried out at five senior centers in Barcelona and Portugal. The results obtained are very positive, showing high user satisfaction. Moreover, the results indicate that the high frequency of positive emotions increased in the participants at the end of the intervention, while the low frequencies of negative emotions were maintained at the end of the intervention.en
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.publisherInternational Journal of Environmental Research and Public Healthca
dc.relation.ispartofInternational Journal of Environmental Research and Public Health, 2022, 19(10)-
dc.relation.ispartofseries19;10-
dc.relation.urihttps://www.doi.org/10.3390/ijerph19105997-
dc.rightshttp://creativecommons.org/licenses/by/4.0-
dc.rightsCC BY 4.0-
dc.rights.urihttp://creativecommons.org/licenses/by/4.0-
dc.subjectreminiscence therapyen
dc.subjectcognitive impairmenten
dc.subjectintangible cultural heritageen
dc.subjectemotions recognitionen
dc.subjectreinforcement learningen
dc.subjectface trackingen
dc.subjectterapia de reminiscenciaes
dc.subjectdeterioro cognitivoes
dc.subjectherencia cultural intangiblees
dc.subjectreconocimiento de emocioneses
dc.subjectaprendizaje reforzadoes
dc.subjectseguimiento de la caraes
dc.subjectterapia de reminisenciaca
dc.subjectdeteriorament cognitiuca
dc.subjectherencia cultural intangibleca
dc.subjectreconeixement d'emocionsca
dc.subjectaprenentatge reforçatca
dc.subjectseguiment de la caraca
dc.subject.lcshlearningen
dc.titleLONG-REMI an AI-based technological application to promote healthy mental longevity grounded in reminiscence therapyca
dc.typeinfo:eu-repo/semantics/articleca
dc.subject.lemacaprenentatgeca
dc.subject.lcshesaprendizajees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doihttps://www.doi.org/10.3390/ijerph19105997-
dc.gir.idAR/0000009721-
dc.relation.projectIDinfo:eu-repo/grantAgreement/0551_PSL_6_EPOCTEP-
dc.type.versioninfo:eu-repo/semantics/publishedVersion-
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