• DocumentCode
    1965341
  • Title

    Lying and deception with visual evoked potentials

  • Author

    Micheli-Tzanakou, Evangelia ; Eugene, Andy ; Tan, Mark ; Kim, Kibum

  • Author_Institution
    Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
  • fYear
    2004
  • fDate
    21-22 July 2004
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    The recent urgency for counterterrorism and the fight to protect ones´ homeland are of grave concern to nations throughout the world. Finding an efficient process that could have screened passengers prior to boarding a flight or even a train may have derailed many devastating events. Scientific research has continuously proved that there is an explicit marker of neuronal activity that correlates with awareness, past experience, and short-term interactions from the well-known P300 peak of an evoked potential. This study examines the effects of memory recognition to certain key stimuli mixed with irrelevant variables in an effort to identify if a trained terrorist, per se, could not only be identified from a group of subjects, but also validate that the willingness to withhold information is out of the control of the individual; it´s simple, one has no control in concealing their brain´s activity.
  • Keywords
    adaptive signal processing; electroencephalography; security; terrorism; visual evoked potentials; P300 peak; adaptive filtering; awareness; brain activity; counterterrorism; deception; flight boarding; homeland protection; lying; memory recognition; neuronal activity marker; passenger screening; past experience; short-term interactions; train boarding; visual evoked potentials; Adaptive filters; Biomedical measurements; Computational intelligence; Data mining; Electroencephalography; Layout; Pressure measurement; Protocols; Stress; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Homeland Security and Personal Safety, 2004. CIHSPS 2004. Proceedings of the 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8381-8
  • Type

    conf

  • DOI
    10.1109/CIHSPS.2004.1360210
  • Filename
    1360210