Please use this identifier to cite or link to this item:
|Title:||On the development of EEG based emotion classification|
|Citation:||5th 2012 Biomedical Engineering International Conference, BMEiCON 2012. (2012)|
|Abstract:||This paper proposes an investigation on classification of the positive and negative emotions via the use of electroencephalogram (EEG). EEG bandpowers are extracted as the feature of interest. Two simple decision rules to classify positive and negative emotions are proposed, i.e. 1) using both the left and right frontal information and 2) using only one side of the left or right frontal information. First decision reports low accuracy while the second decision rule can achieve higher accuracy between 80 to 90%. This can be concluded that the proposed method is possible for the real-time emotion classification in neuroeconomics. ©2012 IEEE.|
|Appears in Collections:||Scopus 2011-2015|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.