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Title: On the development of EEG based emotion classification
Authors: Khunawat Luangrat
Yunyong Punsawad
Yodchanan Wongsawat
Mahidol University
Keywords: Engineering
Issue Date: 1-Dec-2012
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

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