چکیده مقاله
Lie screening Systems which are detecting the non recognition of the truth of a person's speech suspected of lying Characteristics of screening systems are cheaper than detecting systems, determination based on a specific factor, less accuracy, and etc According to the results of various experiments on polygraph data, Photo Plethysmography signals and skin electrical resistance are mostly depend on mental states, especially stress Also, the variations of these signals play a crucial role in the general conclusion of the parameters changes In this paper twenty lie detection data recorded at the Intelligent Signal Processing Research Institute were used After preprocessing, temporal, frequency and temporal frequency features are extracted Then, PCA principal component analysis was used to extract the optimal features and reduce the dimension by T Test method The number of optimal properties by T Test method is eleven Finally, the accuracy of the LDA classifier is used, is 75%
کلیدواژهها
نویسندگان
Elias Mazrooei Rad
Biomedical Engineering Department, Khavaran institute of Higher Education, Mashhad, Iran
Seyyed Ali Zendehbad
Department of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
Shahryar Salmani Bajestani
Department of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
شیوه ارجاع
Mazrooei Rad, Elias and Zendehbad, Seyyed Ali and Salmani Bajestani, Shahryar,1403,Design Of A Lie Detection System Using PPG And GSR Signals Based On Linear Methods,2nd international conference on engineering and information technology
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مجموعه مقالات دومین کنفرانس بین المللی مهندسی و فناوری اطلاعات31 مرداد 1403