title: Adaptive extraction of emotion-related EEG segments using multidimensional directed information in time-frequency domain.
abstract: Emotion discrimination from electroencephalogram (EEG) has gained attention the last decade as a user-friendly and effective approach to EEG-based emotion recognition (EEG-ER) systems. Nevertheless, challenging issues regarding the emotion elicitation procedure, especially its effectiveness, raise. In this work, a novel method, which not only evaluates the degree of emotion elicitation but localizes the emotion information in the time-frequency domain, as well, is proposed. The latter, incorporates multidimensional directed information at the time-frequency EEG representation, extracted using empirical mode decomposition, and introduces an asymmetry index for adaptive emotion-related EEG segment selection. Experimental results derived from 16 subjects visually stimulated with pictures from the valence/arousal space drawn from the International Affective Picture System database, justify the effectiveness of the proposed approach and its potential contribution to the enhancement of EEG-ER systems.
authors.affiliation: Dept. of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece, GR-54124. ppetrant@auth.gr
authors.forename: Panagiotis C
authors.initials: PC
authors.lastname: Petrantonakis
authors.forename: Leontios J
authors.initials: LJ
authors.lastname: Hadjileontiadis
mesh_terms: D000328:Adult; D004569:Electroencephalography / Q000379:methods*; D004644:Emotions / Q000502:physiology*; D005074:Evoked Potentials, Visual / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult