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An Experiment of Lie Detection based EEG-P۳۰۰ Classified by SVM Algorithm

عنوان مقاله: An Experiment of Lie Detection based EEG-P۳۰۰ Classified by SVM Algorithm
شناسه ملی مقاله: ICRSIE08_118
منتشر شده در هشتمین کنفرانس بین المللی پژوهش در علوم و مهندسی و پنجمین کنگره بین المللی عمران، معماری و شهرسازی آسیا در سال 1402
مشخصات نویسندگان مقاله:

Saied Piri - Research Center for Computational Cognitive Neuroscience, System & Cybernetic Laboratory, Imam Reza International University, Mashhad, Iran
Arefeh Dinarvand - UAST-University of Applied Science and Technology X-IBM Institute, Tehran, Iran
Kazem Sohrabi - Bachelor of Aerospace Engineering majoring in air structures, Shahid Sattari Aeronautical University, Tehran, Iran

خلاصه مقاله:
ERP method is chosen to identify whether a person is lying or not. It comprises of three steps and utilizes signal P۳۰۰ as marker. For the sake of simplicity, Matlab based program is constructed to take over the processes. Eleven males whose age is between ۲۰ and ۲۷ 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.

کلمات کلیدی:
ERP method, signal P۳۰۰, SVM method

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1947791/