Towards Emotion Recognition: A Persistent Entropy Application

González Díaz, Rocío; Paluzo Hidalgo, Eduardo; Quesada Moreno, José Francisco

doi:10.1007/978-3-030-10828-1_8

Ponencia

dc.creator	González Díaz, Rocío	es
dc.creator	Paluzo Hidalgo, Eduardo	es
dc.creator	Quesada Moreno, José Francisco	es
dc.date.accessioned	2019-06-11T10:40:40Z
dc.date.available	2019-06-11T10:40:40Z
dc.date.issued	2019
dc.identifier.citation	González Díaz, R., Paluzo Hidalgo, E. y Quesada Moreno, J.F. (2019). Towards Emotion Recognition: A Persistent Entropy Application. En CTIC 2019 : 7th International Workshop on Computational Topology in Image Contex (96-109), Málaga, España: Springer.
dc.identifier.isbn	978-3-030-10827-4	es
dc.identifier.issn	0302-9743	es
dc.identifier.uri	https://hdl.handle.net/11441/87338
dc.description.abstract	Emotion recognition and classification is a very active area of research. In this paper, we present a first approach to emotion classification using persistent entropy and support vector machines. A topology-based model is applied to obtain a single real number from each raw signal. These data are used as input of a support vector machine to classify signals into 8 different emotions (calm, happy, sad, angry, fearful, disgust and surprised).	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	CTIC 2019 : 7th International Workshop on Computational Topology in Image Contex (2019), p 96-109
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Persistent homology	es
dc.subject	Persistent Entropy	es
dc.subject	Emotion Recognition	es
dc.subject	Support Vector Machine	es
dc.title	Towards Emotion Recognition: A Persistent Entropy Application	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-030-10828-1_8	es
dc.identifier.doi	10.1007/978-3-030-10828-1_8	es
idus.format.extent	11	es
dc.publication.initialPage	96	es
dc.publication.endPage	109	es
dc.eventtitle	CTIC 2019 : 7th International Workshop on Computational Topology in Image Contex	es
dc.eventinstitution	Málaga, España	es
dc.relation.publicationplace	Berlin	es

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