• DocumentCode
    3763735
  • Title

    An experiment of lie detection based EEG-P300 classified by SVM algorithm

  • Author

    Artha Ivonita Simbolon;Arjon Turnip;Jeperson Hutahaean;Yessica Siagian;Novica Irawati

  • Author_Institution
    Technical Implementation Unit for Instrumentation Development, Indonesian Institute of Sciences, Bandung, Indonesia
  • fYear
    2015
  • Firstpage
    68
  • Lastpage
    71
  • Abstract
    ERP method is chosen to identify whether a person is lying or not. It comprises of three steps and utilizes signal P300 as marker. For the sake of simplicity, Matlab based program is constructed to take over the processes. Eleven males whose age is between 20 and 27 were subject to the experiment. The gathered data were then divided into training and test data to produce several models. They were then narrowed down using SVM method based on accuracy and computation time. Despite being relatively low in accuracy, the resulting model that is used in the program proved to be able to discern all of the subjects.
  • Keywords
    "Support vector machines","Electroencephalography","Computational modeling","Feature extraction","Brain models","Probes"
  • Publisher
    ieee
  • Conference_Titel
    Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology (ICACOMIT), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICACOMIT.2015.7440177
  • Filename
    7440177