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Software architecture for smart emotion recognition and regulation of the ageing adult

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dc.affiliation.dptoUC3M. Departamento de Ingeniería de Sistemas y Automáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Robótica (Robotics Lab)es
dc.contributor.authorCastillo Montoya, José Carlos
dc.contributor.authorCastro González, Álvaro
dc.contributor.authorFernández Caballero, Antonio
dc.contributor.authorLatorre, José Miguel
dc.contributor.authorPastor García, José Manuel
dc.contributor.authorFernández Soto, Alicia
dc.contributor.authorSalichs Sánchez-Caballero, Miguel
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-08-03T08:43:34Z
dc.date.available2022-08-03T08:43:34Z
dc.date.issued2016-02-12
dc.description.abstractThis paper introduces the architecture of an emotion-aware ambient intelligent and gerontechnological project named “Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation”. The objective of the proposal is to find solutions for improving the quality of life and care of the elderly who can or want to continue living at home by using emotion regulation techniques. A series of sensors is used for monitoring the elderlies’ facial and gestural expression, activity and behaviour, as well as relevant physiological data. This way the older people’s emotions are inferred and recognized. Music, colour and light are the stimulating means to regulate their emotions towards a positive and pleasant mood. Then, the paper proposes a gerontechnological software architecture that enables real-time, continuous monitoring of the elderly and provides the best-tailored reactions of the ambience in order to regulate the older person’s emotions towards a positive mood. After describing the benefits of the approach for emotion recognition and regulation in the elderly, the eight levels that compose the architecture are described.en
dc.description.sponsorshipThis work was partially supported by Spanish Ministerio de Economía y Competitividad/FEDER under TIN2013-47074-C2-1-R grant. José Carlos Castillo was partially supported by a grant from Iceland, Liechtenstein and Norway through the EEA Financial Mechanism, operated by Universidad Complutense de Madrid.en
dc.description.statusPublicadoes
dc.format.extent10
dc.identifier.bibliographicCitationCognitive Computation, (2016), v. 8, 357–367.en
dc.identifier.doihttps://doi.org/10.1007/s12559-016-9383-y
dc.identifier.issn1866-9956
dc.identifier.publicationfirstpage357
dc.identifier.publicationissue2
dc.identifier.publicationlastpage367
dc.identifier.publicationtitleCognitive Computationen
dc.identifier.publicationvolume8
dc.identifier.urihttps://hdl.handle.net/10016/35572
dc.identifier.uxxiAR/0000017962
dc.language.isoengen
dc.publisherSpringeren
dc.relation.projectIDGobierno de España. TIN2013-47074-C2-1-Res
dc.rights© Springer Science+Business Media New York 2016.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaRobótica e Informática Industriales
dc.subject.otherEmotion recognitionen
dc.subject.otherEmotion regulationen
dc.subject.otherAmbient intelligenceen
dc.subject.otherGerontechnologyen
dc.subject.otherSoftware architectureen
dc.titleSoftware architecture for smart emotion recognition and regulation of the ageing adulten
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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