Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/20702
metadata.conference.dc.title: Alpha-Band Frequency Dependency Between EEG in the Presence of Fear
metadata.conference.dc.contributor.*: Safie. S.I
Aimullah
(UniKL MITEC)
metadata.conference.dc.subject: Electroencephalogram
Alpha Band Frequency
Dependency
Emotion recognition
metadata.conference.dc.date.issued: 26-Dec-2018
metadata.conference.dc.description.abstract: Studies on the use of alpha spectrum of an Electroencephalogram (EEG) and its relationship towards emotion, have been carried out extensively. Asymmetric Relationship Ratio (ARR) is usually used, extracted as features. To calculate the ARR, the EEG spectrum between 8 and 13 Hz needs to be averaged. Investigating the EEG alpha spectrum individually, by representing the ARR in terms of its emotional state, shows that, some EEG components produce negative relationships over others. By averaging these conflicting EEG components, it reduces the accuracy of an EEG-based emotion recognition system. This paper studies the relationship of the EEG within the alpha spectrum. Pearson, Spearman Rank and Kendall Rank correlation coefficient methods have been used to measure the dependency of the EEG components. From this study, it can be concluded that, EEG spectrums between 10 to 12 Hz are highly dependents between each other. Thus, it is proposed that only EEG within these frequency bands to be used in calculating the ARR.
metadata.conference.dc.identifier.uri: http://ir.unikl.edu.my/jspui/handle/123456789/20702
metadata.conference.dc.conference.name: ICCSCE 2018 THE 8TH INTERNATIONAL CONFERENCE IN CONTROL SYSTEM, COMPUTING AND ENGINEERING
metadata.conference.dc.conference.year: 2018
Appears in Collections:Conference Papers

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