Classification of Emotional Valence Dimension Using Artificial Neural Networks

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dc.contributor.authorOzdemir, Merve Erkmay
dc.contributor.authorYildirim, Esen
dc.contributor.authorYildirim, Serdar
dc.date.accessioned2024-09-18T20:16:41Z
dc.date.available2024-09-18T20:16:41Z
dc.date.issued2015
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractEmotions play an important role in human interaction. Emotion recognition should be considered to design an effective Brain-Computer Interface. In this work binary classification (low/high) for valence which is one of the primitives used in expressing emotions is performed. Hilbert-Huang Transform is used for feature extraction, multi layer feed forward Artificial Neural Networks is used for subject independent classification and 69% of true positive rate is obtained.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage2552en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939169453en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2549en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/9683
dc.identifier.wosWOS:000380500900621en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEEGen_US
dc.subjectValenceen_US
dc.subjectEmotion Primitive Classificationen_US
dc.subjectArtificial Neural Networksen_US
dc.titleClassification of Emotional Valence Dimension Using Artificial Neural Networksen_US
dc.typeConference Objecten_US

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