Emotion estimation from EEG signals using wavelet transform analysis

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dc.authorscopusid55293603700
dc.authorscopusid43261861500
dc.authorscopusid7006442384
dc.authorscopusid43262125900
dc.contributor.authorUzun, Süheyla Sinem
dc.contributor.authorOflazoglu, Ça?lar
dc.contributor.authorYildirim, Serdar
dc.contributor.authorYildirim, Esen
dc.date.accessioned2024-09-19T15:41:14Z
dc.date.available2024-09-19T15:41:14Z
dc.date.issued2012
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786en_US
dc.description.abstractEmotion recognition is important for an effective human-machine interaction. Information obtained from speech, gestures and mimics, heart rate, and temperature can be used in emotion estimation. In this study, emotion estimation from EEG signals using wavelet decomposition is performed. For this purpose, EEG signals were recorded from 20 subjects and audio stimuli are used to evoke emotions. Delta, Theta, Alfa, Beta and Gamma sub-bands of signals are computed using wavelet transform. Statistical features and energy of each band are computed. Correlation based feature selection algorithm is applied to the base feature set to obtain the most relevant subset and emotion primitives are estimated using Support Vector Regression. Emotion estimation results in terms of mean absolute error using db4, db8 and coif5 mother wavelets are 0.28, 0.26, and 0.29 for valence, 0.20, 0.20, and 0.19 for activation and 0.11, 0.10, and 0.10 for dominance respectively. © 2012 IEEE.en_US
dc.identifier.doi10.1109/SIU.2012.6204830
dc.identifier.isbn978-146730056-8
dc.identifier.scopus2-s2.0-84863498238en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204830
dc.identifier.urihttps://hdl.handle.net/20.500.12483/14106
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWavelet decompositionen_US
dc.subjectEEG signalsen_US
dc.subjectEmotion estimationen_US
dc.subjectEmotion recognitionen_US
dc.subjectFeature selection algorithmen_US
dc.subjectFeature setsen_US
dc.subjectHeart ratesen_US
dc.subjectHuman machine interactionen_US
dc.subjectMean absolute erroren_US
dc.subjectMother waveletsen_US
dc.subjectStatistical featuresen_US
dc.subjectSupport vector regression (SVR)en_US
dc.subjectSignal processingen_US
dc.titleEmotion estimation from EEG signals using wavelet transform analysisen_US
dc.title.alternativeDalgacik dönüşümü anali?zi? i?le EEG i?şaretleri?nden duygu kesti?ri?mi?en_US
dc.typeConference Objecten_US

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