تشخیص دروغ بر مبنای سیگنال‎های فوتوپلتیسموگراف و مقاومت الکتریکی پوست با استفاده از شبکه‎ی عصبی

The aim of this article is to design a lie detector system using GSR and PPG.The data set was including of photoplethysmograph signals and galvanic skin response record through an inductive test and using classic polygraph device. Thenceforth, features of time and frequency were extracted. Consequently data were classified and accuracy coefficient was calculated by applying these features to linear Discriminant analysis LDA and MLP and Elman neural networks. 20 people participated in the study. The mean age of participants was 36 years. Finally determination of lie was done with accuracy coefficient of 87% by applying Elman neural network. According to the findings, the new method introduced in this study has while offering a more comfortable recording and less diagnostic costs. This new method can be suggested for use as a lie screening system