Classification of Emotion Primitives from EEG Signals Using Visual and Audio Stimuli

dc.authoridDASDEMIR, YASAR/0000-0002-9141-0229
dc.contributor.authorDasdemir, Yasar
dc.contributor.authorYildirim, Serdar
dc.contributor.authorYildirim, Esen
dc.date.accessioned2024-09-18T20:16:40Z
dc.date.available2024-09-18T20:16:40Z
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.abstractEmotion recognition from EEG signals has an important role in designing Brain-Computer Interface. This paper compares effects of audio and visual stimuli, used for collecting emotional EEG signals, on emotion classification performance. For this purpose EEG data from 25 subjects are collected and binary classification (low/high) for valence and activation emotion dimensions are performed. Wavelet transform is used for feature extraction and 3 classifiers are used for classification. True positive rates of 71.7% and 78.5% are obtained using audio and video stimuli for valence dimension 71% and 82% are obtained using audio and video stimuli for arousal dimension, respectively.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage2253en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939210598en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2250en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/9680
dc.identifier.wosWOS:000380500900544en_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.subjectArousalen_US
dc.subjectValenceen_US
dc.subjectEmotion Primitive Classificationen_US
dc.titleClassification of Emotion Primitives from EEG Signals Using Visual and Audio Stimulien_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ N/A ]
İsim:
Tam Metin / Full Text
Boyut:
3.82 MB
Biçim:
Adobe Portable Document Format