DocumentCode :
3005558
Title :
Detection of disgust in the EEG sub-gamma band
Author :
Syahril, Syed ; Subari, Khazaimatol S.
Author_Institution :
Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia
fYear :
2011
fDate :
21-24 Nov. 2011
Firstpage :
293
Lastpage :
297
Abstract :
This research is based on detecting the emotion disgust from an EEG signal. We analyse the spectral characteristics of the sub-gamma band between 30 to 45 Hz of eight subjects exposed to audio-visual stimuli intended to evoke certain emotions. The signal was divided into 1 s epochs where each epoch underwent frequency averaging over 4 segments similar to Welch´s technique. It was observed that power in the selected sub-gamma band has a high correlation with the subjects´ experience of the emotion, and therefore can be used as marker to use to detect the feelings of disgust from the EEG signal.
Keywords :
electroencephalography; emotion recognition; medical signal detection; medical signal processing; EEG signal; EEG subgamma band; Welch technique; audio-visual stimuli; emotion disgust detection; frequency averaging; spectral characteristics; Correlation; Electroencephalography; Emotion recognition; Estimation; Feature extraction; Humans; Videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2011 - 2011 IEEE Region 10 Conference
Conference_Location :
Bali
ISSN :
2159-3442
Print_ISBN :
978-1-4577-0256-3
Type :
conf
DOI :
10.1109/TENCON.2011.6129111
Filename :
6129111
Link To Document :
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