An Experiment of Lie Detection based EEG-P۳۰۰ Classified by SVM Algorithm
محل انتشار: هشتمین کنفرانس بین المللی پژوهش در علوم و مهندسی و پنجمین کنگره بین المللی عمران، معماری و شهرسازی آسیا
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 141
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شناسه ملی سند علمی:
ICRSIE08_118
تاریخ نمایه سازی: 18 فروردین 1403
چکیده 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.
کلیدواژه ها:
نویسندگان
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