DSpace Repository

Alpha-Band Frequency Dependency Between EEG in the Presence of Fear

Show simple item record

dc.contributor.author Safie. S.I
dc.contributor.author Aimullah
dc.contributor.author (UniKL MITEC)
dc.date.accessioned 2018-12-26T07:51:24Z
dc.date.available 2018-12-26T07:51:24Z
dc.date.issued 2018-12-26
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/20702
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. en_US
dc.subject Electroencephalogram en_US
dc.subject Alpha Band Frequency en_US
dc.subject Dependency en_US
dc.subject Emotion recognition en_US
dc.title Alpha-Band Frequency Dependency Between EEG in the Presence of Fear en_US
dc.conference.name ICCSCE 2018 THE 8TH INTERNATIONAL CONFERENCE IN CONTROL SYSTEM, COMPUTING AND ENGINEERING en_US
dc.conference.year 2018 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account