Frontal EEG asymmetry and affective states: A multidimensional directed information approach

P. C. Petrantonakis, L. J. Hadjileontiadis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Electroencephalogram (EEG)-based emotion recognition is a rapidly growing research field that examines the ability of EEG signals to discriminate emotions in humans. One of the major problems that this emotion recognition approach deals with is the reliability of the emotion induction to the subjects that participate in relevant experiments. In this paper, Multidimensional Directed Information analysis was adopted to identify frontal EEG asymmetry and, thus, evaluate the emotion elicitation procedure followed to evoke affective states from 16 healthy right-handed subjects using the IAPS database. The derived results have shown that the adopted method has the potential to become an efficient emotion elicitation evaluation criterion.

Original languageBritish English
Title of host publicationXII Mediterranean Conference on Medical and Biological Engineering and Computing 2010, MEDICON 2010
Pages687-690
Number of pages4
DOIs
StatePublished - 2010
Event12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010 - Chalkidiki, Greece
Duration: 27 May 201030 May 2010

Publication series

NameIFMBE Proceedings
Volume29
ISSN (Print)1680-0737

Conference

Conference12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010
Country/TerritoryGreece
CityChalkidiki
Period27/05/1030/05/10

Keywords

  • affective states
  • frontal EEG asymmetry
  • multidimensional directed information

Fingerprint

Dive into the research topics of 'Frontal EEG asymmetry and affective states: A multidimensional directed information approach'. Together they form a unique fingerprint.

Cite this