title: A novel emotion elicitation index using frontal brain asymmetry for enhanced EEG-based emotion recognition.
abstract: This paper aims at providing a novel method for evaluating the emotion elicitation procedures in an electroencephalogram (EEG)-based emotion recognition setup. By employing the frontal brain asymmetry theory, an index, namely asymmetry Index (AsI), is introduced, in order to evaluate this asymmetry. This is accomplished by a multidimensional directed information analysis between different EEG sites from the two opposite brain hemispheres. The proposed approach was applied to three-channel (Fp1, Fp2, and F3/F4 10/20 sites) EEG recordings drawn from 16 healthy right-handed subjects. For the evaluation of the efficiency of the AsI, an extensive classification process was conducted using two feature-vector extraction techniques and a SVM classifier for six different classification scenarios in the valence/arousal space. This resulted in classification results up to 62.58% for the user independent case and 94.40% for the user-dependent one, confirming the efficacy of AsI as an index for the emotion elicitation evaluation.
authors.affiliation: Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessalonika, Greece. 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: D001921:Brain / Q000502:physiology*; D004569:Electroencephalography; D004644:Emotions; D006801:Humans; D008962:Models, Theoretical