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Analysis of Electroencephalogram Electrode Position and Spectral Feature for Emotion Recognition  

Chung, Seong-Youb (Department of Mechanical Engineering, Korea National University of Transportation)
Yoon, Hyun-Joong (Faculty of Mechanical and Automotive Engineering, Catholic University of Daegu)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.35, no.2, 2012 , pp. 64-70 More about this Journal
Abstract
This paper presents a statistical analysis method for the selection of electroencephalogram (EEG) electrode positions and spectral features to recognize emotion, where emotional valence and arousal are classified into three and two levels, respectively. Ten experiments for a subject were performed under three categorized IAPS (International Affective Picture System) pictures, i.e., high valence and high arousal, medium valence and low arousal, and low valence and high arousal. The electroencephalogram was recorded from 12 sites according to the international 10~20 system referenced to Cz. The statistical analysis approach using ANOVA with Tukey's HSD is employed to identify statistically significant EEG electrode positions and spectral features in the emotion recognition.
Keywords
Electroencephalogram; Emotion Recognition; Emotional Model; Power Spectrum Analysis;
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