Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings

Autores
Ierache, Jorge Salvador; Nervo, Facundo; Sattolo, Iris Inés; Ierache, Rocío; Chapperón, Gabriela
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper deals with the problem of emotions recognition in a multimodal way, presents a model of fusion of emotional records coming from EEG signals provided by the use of brain-machine interfaces, face image capture and the record of the response from the user before stimuli induced by images (IAPS, OLAF). It particularly approaches a proposal of multimodal fusion which validates the user´s potential subjective responses facing those stimuli.
Workshop: WISS – Innovación en Sistemas de Software
Red de Universidades con Carreras en Informática
Materia
Ciencias Informáticas
Affective computing
Food
Biometric data
Physiological data
Multimodal framework
Neuromarketing
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/114433
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/114433
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settingsIerache, Jorge SalvadorNervo, FacundoSattolo, Iris InésIerache, RocíoChapperón, GabrielaCiencias InformáticasAffective computingFoodBiometric dataPhysiological dataMultimodal frameworkNeuromarketingThis paper deals with the problem of emotions recognition in a multimodal way, presents a model of fusion of emotional records coming from EEG signals provided by the use of brain-machine interfaces, face image capture and the record of the response from the user before stimuli induced by images (IAPS, OLAF). It particularly approaches a proposal of multimodal fusion which validates the user´s potential subjective responses facing those stimuli.Workshop: WISS – Innovación en Sistemas de SoftwareRed de Universidades con Carreras en Informática2020-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf501-511http://sedici.unlp.edu.ar/handle/10915/114433enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-4417-90-9info:eu-repo/semantics/reference/hdl/10915/113243info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:26:40Zoai:sedici.unlp.edu.ar:10915/114433Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:26:40.682SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings
title Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings
spellingShingle Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings
Ierache, Jorge Salvador
Ciencias Informáticas
Affective computing
Food
Biometric data
Physiological data
Multimodal framework
Neuromarketing
title_short Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings
title_full Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings
title_fullStr Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings
title_full_unstemmed Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings
title_sort Proposal of a multimodal model for emotional assessment within affective computing in gastronomic settings
dc.creator.none.fl_str_mv Ierache, Jorge Salvador
Nervo, Facundo
Sattolo, Iris Inés
Ierache, Rocío
Chapperón, Gabriela
author Ierache, Jorge Salvador
author_facet Ierache, Jorge Salvador
Nervo, Facundo
Sattolo, Iris Inés
Ierache, Rocío
Chapperón, Gabriela
author_role author
author2 Nervo, Facundo
Sattolo, Iris Inés
Ierache, Rocío
Chapperón, Gabriela
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Affective computing
Food
Biometric data
Physiological data
Multimodal framework
Neuromarketing
topic Ciencias Informáticas
Affective computing
Food
Biometric data
Physiological data
Multimodal framework
Neuromarketing
dc.description.none.fl_txt_mv This paper deals with the problem of emotions recognition in a multimodal way, presents a model of fusion of emotional records coming from EEG signals provided by the use of brain-machine interfaces, face image capture and the record of the response from the user before stimuli induced by images (IAPS, OLAF). It particularly approaches a proposal of multimodal fusion which validates the user´s potential subjective responses facing those stimuli.
Workshop: WISS – Innovación en Sistemas de Software
Red de Universidades con Carreras en Informática
description This paper deals with the problem of emotions recognition in a multimodal way, presents a model of fusion of emotional records coming from EEG signals provided by the use of brain-machine interfaces, face image capture and the record of the response from the user before stimuli induced by images (IAPS, OLAF). It particularly approaches a proposal of multimodal fusion which validates the user´s potential subjective responses facing those stimuli.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/114433
url http://sedici.unlp.edu.ar/handle/10915/114433
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-4417-90-9
info:eu-repo/semantics/reference/hdl/10915/113243
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
501-511
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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