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Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals

dc.contributor.authorTomé, A. M.
dc.contributor.authorHidalgo-Muñoz, A.R.
dc.contributor.authorLópez, M.M.
dc.contributor.authorTeixeira, Ana
dc.contributor.authorSantos, I.M.
dc.contributor.authorPereira, A.T.
dc.contributor.authorVázquez-Marrufo, M.
dc.contributor.authorLang, E.W.
dc.date.accessioned2023-10-20T15:00:20Z
dc.date.available2023-10-20T15:00:20Z
dc.date.issued2013
dc.description.abstractIn this work a valence recognition system based on electroencephalograms is presented. The performance of the system is evaluated for two settings: single subjects (intra-subject) and between subjects (inter-subject). The feature extraction is based on measures of relative energies computed in short time intervals and certain frequency bands. The feature extraction is performed either on signals averaged over an ensemble of trials or on single-trial response signals. The subsequent classification stage is based on an ensemble classifier, i. e. a random forest of tree classifiers. The classification is performed considering the ensemble average responses of all subjects (inter-subject) or considering the single-trial responses of single subjects (intra-subject). Applying a proper importance measure of the classifier, feature elimination has been used to identify the most relevant features of the decision making. en
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.5220/0004233100540060pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/47375
dc.language.isoengpt_PT
dc.publisherSCITEPRESSpt_PT
dc.subjectValence Detectionpt_PT
dc.subjectRandomForestpt_PT
dc.subjectERD/ERSpt_PT
dc.titleFeature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signalspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBarcelonapt_PT
oaire.citation.endPage60pt_PT
oaire.citation.startPage54pt_PT
oaire.citation.titleProceedings of the international conference on bio-inspired systems and signal processingpt_PT
person.familyNameTeixeira
person.givenNameAna
person.identifier.ciencia-idD619-A151-8BE2
person.identifier.orcid0000-0002-8120-0148
person.identifier.ridA-3100-2014
person.identifier.scopus-author-id7202385348
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc1ff686d-c3d3-4658-96c6-a1f62a52777a
relation.isAuthorOfPublication.latestForDiscoveryc1ff686d-c3d3-4658-96c6-a1f62a52777a

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