Emotion recognition based on spatially smooth spectral features of the EEG
[ X ]
Tarih
2013
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The primary aim of this study was to select the optimal feature subset for discrimination of three dimensions of emotions (arousal, valence, liking) from subjects using electroencephalogram (EEG) signals. The EEG signals were collected from 25 channels on 21 healthy subjects whilst they were watching movie segments with emotional content. The band power values extracted from eleven frequency bands, namely delta (0.5-3.5 Hz), theta (4-7.5 Hz), alpha (8-12 Hz), beta (13-30 Hz), gamma (30-50 Hz), low theta (4-6 Hz), high theta (6-8 Hz), low alpha (8-10 Hz), high alpha (10-12 Hz), low beta (13-18 Hz) and high beta (18-30 Hz) bands, were used as EEG features. The most discriminative features for classification of EEG feature sets were selected using sequential floating forward search (SFFS) algorithm and a modified version of SFFS algorithm, which imposes the topographical smoothness of spectral features, along with linear discriminant analysis (LDA) classifier. The best classification accuracies for three emotional dimensions were obtained for liking (72.22%) followed by arousal (67.50%) and valence (66.67%). SFFS-LDA and modified SFFS-LDA algorithms produced slightly different classification accuracies. However, the findings suggested that the use of modified SFFS-LDA algorithm provides more robust feature subsets for understanding of underlying functional neuroanatomic mechanisms corresponding to distinct emotional states.
Açıklama
6th International IEEE EMBS Conference on Neural Engineering (NER) -- NOV 06-08, 2013 -- San Diego, CA
Duru, Adil Deniz/0000-0003-3014-9626; Demiralp, Tamer/0000-0002-6803-734X
Duru, Adil Deniz/0000-0003-3014-9626; Demiralp, Tamer/0000-0002-6803-734X
Anahtar Kelimeler
EEG, Emotion Recognition, Smooth Spectral
Kaynak
2013 6Th International Ieee/Embs Conference on Neural Engineering (Ner)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
