• DocumentCode
    3642261
  • Title

    Emotion detection using psycho-physiological signal processing

  • Author

    Ioana Safta;Ovidiu Grigore;Constantin Căruntu

  • Author_Institution
    Department of Mobile Communications, Faculty of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The purpose of this paper is to assess the value of physiological responses as specific indicators of emotion. Our study consisted of 4 stages: emotion induction, signal recording, signal processing (feature extraction) and pattern classification (detection). The emotion induction protocol was based on the presentation of emotionally-evocative images from IAPS (The international Affective Picture System) to the subject. The signal used to analyze physiological response is EDA (electrodermal activity). We were able to differentiate between 2 classes of emotion: pleasant and unpleasant.
  • Keywords
    "Thyristors","Support vector machine classification","Skin","Classification algorithms","Training","Biomedical imaging","Stress"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Topics in Electrical Engineering (ATEE), 2011 7th International Symposium on
  • ISSN
    2068-7966
  • Print_ISBN
    978-1-4577-0507-6
  • Type

    conf

  • Filename
    5952203