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

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 (IA...

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Detalles Bibliográficos
Autores principales: Ierache, Jorge Salvador, Nervo, Facundo, Sattolo, Iris Inés, Ierache, Rocío, Chapperón, Gabriela
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
Affective computing
Food
Biometric data
Physiological data
Multimodal framework
Neuromarketing
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/114433
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
Descripción
Sumario: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.

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