An approach to emotion recognition in single-channel EEG signals using stationarywavelet transform

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dc.contributor.authorGómez, A.
dc.contributor.authorQuintero, L.
dc.contributor.authorLópez, N.
dc.contributor.authorCastro, J.
dc.contributor.authorVilla, L.
dc.contributor.authorMejía, G.
dc.contributor.departmentUniversidad EAFIT. Departamento de Cienciasspa
dc.contributor.researchgroupMatemáticas y Aplicacionesspa
dc.creatorGómez, A.
dc.creatorQuintero, L.
dc.creatorLópez, N.
dc.creatorCastro, J.
dc.creatorVilla, L.
dc.creatorMejía, G.
dc.date.accessioned2021-04-12T13:55:40Z
dc.date.available2021-04-12T13:55:40Z
dc.date.issued2017-01-01
dc.description.abstractIn this work, we perform an approach to emotion recognition from Electroencephalography (EEG) single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology. Single channel EEG signals are decomposed by several types of wavelets and each subsignal are processed using several window sizes by performing a statistical analysis. Finally, three types of classifiers were used, obtaining accuracy rate between 50% to 87% for the emotional states such as happiness, sadness and neutrality. © Springer Nature Singapore Pte Ltd. 2017.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=6756
dc.identifier.doi10.1007/978-981-10-4086-3_164
dc.identifier.issn16800737
dc.identifier.otherSCOPUS;2-s2.0-85018372191
dc.identifier.urihttp://hdl.handle.net/10784/27667
dc.language.isoengeng
dc.publisherSPRINGER
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85018372191&doi=10.1007%2f978-981-10-4086-3_164&partnerID=40&md5=2ff10283d5e0d903cdc3699c25094a24
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1680-0737
dc.sourceIfmbe Proceedings
dc.subject.keywordBiomedical engineeringeng
dc.subject.keywordElectroencephalographyeng
dc.subject.keywordElectrophysiologyeng
dc.subject.keywordSignal processingeng
dc.subject.keywordSpeech recognitioneng
dc.subject.keywordDevelopmental psychologyeng
dc.subject.keywordEmotioneng
dc.subject.keywordEmotion recognitioneng
dc.subject.keywordEmotional stateeng
dc.subject.keywordFeatureseng
dc.subject.keywordSingle channel eegeng
dc.subject.keywordSingle-channel signalseng
dc.subject.keywordWavelet, Biomedical signal processingeng
dc.titleAn approach to emotion recognition in single-channel EEG signals using stationarywavelet transformeng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
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