• DocumentCode
    3742497
  • Title

    Frontal alpha asymmetry during the audio emotional experiment revealed by event-related spectral perturbation

  • Author

    Ruoyu Du;Hyo Jong Lee

  • Author_Institution
    College of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China
  • fYear
    2015
  • Firstpage
    531
  • Lastpage
    536
  • Abstract
    Due to the recent development of brain computer interfaces (BCI), there has been certain relationship between emotion and brain electrical activities. Brain asymmetry could be used for enhanced electroencephalogram (EEG)-based emotional recognition as a prominent feature. Prefrontal hemispheric asymmetries have been proposed in twenty years ago. It is measured by the power of EEG signal in alpha band (8-13Hz), which is related to electrical power response to different emotional stimuli. In this paper, we designed an auditory evoked emotional experiment in order to explore EEG frontal alpha asymmetry by comparing event-related spectral perturbation (ERSP) maps of left and right frontal regions. Thirty healthy male students are employed to stimulate emotion by affective sound clips. All of auditory evoked stimuli come from the standard International Affective Digitized Sounds (IADS) dataset. ERSP maps exhibited that there are the strongest responses of positive sounds overspread the frontal lobe. To be specific, the right prefrontal and whole medial frontal EEG activation are elicited the stronger responses by emotional sounds of high pleasure-arousal, whereas the left prefrontal and whole medial frontal EEG activation are elicited the stronger responses by emotional sounds of middle pleasure-low arousal. Additionally, the stronger responses of high-arousal level sound clips have been found out over the whole right frontal region, while the low-arousal level sound clips can elicit greater relative electrical power over the whole left frontal region.
  • Keywords
    "Electroencephalography","Emotion recognition","Brain modeling","Visualization","Electrodes","Power measurement"
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2015 8th International Conference on
  • Type

    conf

  • DOI
    10.1109/BMEI.2015.7401562
  • Filename
    7401562