EEG Based Emotion Recognition with Convolutional Neural Networks
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The use of multichannel electroencephalography (EEG) signals has become increasingly common in emotion recognition. However, studies have shown that due to the complexity of EEG signals, even the signals recorded from the same person may be disturbed. Therefore, EEG signals from the human brain need to be accurately and consistently analyzed and processed. With the method based on the Welch power spectral density estimation and a convolutional neural network, a high degree of classification accuracy was obtained on the SEED EEG dataset.
Açıklama
28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORK
Anahtar Kelimeler
convolutional neural network, emotion analysis, Electroencephalography, feature extraction
Kaynak
2020 28th Signal Processing and Communications Applications Conference (Siu)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
