Automatic Detection of Emotional State from EEG Signal by Gamma Coherence Approach

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dc.contributor.authorPolat, Hasan
dc.contributor.authorOzerdem, Mehmet Sirac
dc.date.accessioned2024-04-24T17:33:16Z
dc.date.available2024-04-24T17:33:16Z
dc.date.issued2018
dc.departmentDicle Üniversitesien_US
dc.descriptionInnovations in Intelligent Systems and Applications Conference (ASYU) -- OCT 04-06, 2018 -- Adana, TURKEYen_US
dc.description.abstractElectroencephalogram coherence analysis is an important measure to help us to assess functional cortical connections and to learn about regional cortical synchronization. In this study, it was aimed to automatically detect emotions related to audio-visual stimuli by electroencephalogram coherence approach. First, the synchronizations of EEG recorded from different regions of the scalp have been analyzed with each other. Coherence analysis was performed for the gamma band of the electroencephalogram signals. Electrode pairs were identified in which the changing emotional state can be observed clearly. The coherence features extracted from the electrode pairs were given to input of the classifier algorithm. The average classification accuracy for the four different participants was obtained as 83.5%.en_US
dc.description.sponsorshipCUKUROVA Univ,Yildiz Tech Univ,IEEE Turkey Sect,Cukurova Univ Comp Eng Depten_US
dc.identifier.endpage42en_US
dc.identifier.isbn978-1-5386-7786-5
dc.identifier.scopus2-s2.0-85059976047
dc.identifier.scopusqualityN/A
dc.identifier.startpage39en_US
dc.identifier.urihttps://hdl.handle.net/11468/20582
dc.identifier.wosWOS:000455592800006
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 Innovations in Intelligent Systems and Applications Conference (Asyu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEegen_US
dc.subjectCoherenceen_US
dc.subjectClassificationen_US
dc.subjectEmotionen_US
dc.titleAutomatic Detection of Emotional State from EEG Signal by Gamma Coherence Approachen_US
dc.titleAutomatic Detection of Emotional State from EEG Signal by Gamma Coherence Approach
dc.typeConference Objecten_US

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