A novel approach for detection of deception using Smoothed Pseudo Wigner-Ville Distribution (SPWVD)

Elias Ebrahimzadeh,Alireza Pakkhesal,Seyed Mohammad Alavi,Ahmad Bijar

doi:10.4236/jbise.2013.61002

Abstract

For many years, the uncertainty of lie-detection systems has been one of the concerns of defense related agencies. Clearly the results of these systems must be generalized by a high value of accuracy to be acceptable by judicial systems. In this paper, a new method based on P300-based component has been proposed for lie-detection. In this regard, the test protocol is designed based on Odd-ball paradigm concealed information recognition. This test was done on 32 people and their brain signals were acquired. After preprocessing, the classic features are extracted from each single trial. After that, time-frequency (TF) transformation is applied on the sweeps and TF features are produced thereupon. Then, the best combinational feature vector is selected in order to improve classifier accuracy. Finally, Guilty and Innocent persons are classified by KNN and MLP. We found that combination of Time-Frequency and Classic features have better ability to achieve higher amount of accuracy. The obtained results show that the proposed method can detect deception by the accuracy of 89.73% which is better than other previously reported methods.

Highlights

The detection of deception has a long history
EEG background activities have been used in a few studies on detection of deception such as [14], analyzing Event Related Potentials (ERPs), especially P300 wave form, has been becoming more popular in Guilty Knowledge Test (GKT) [15,16]
GKT is a method of Polygraphy that is used in detection of concealed knowledge of the guilty persons

Summary

Introduction

The detection of deception has a long history. The first proposed technology was the polygraph, which recorded autonomic arousal and was used in the determination of guilt or innocence [1]. A researchable hypothesis is that by looking at brain function more directly, it might be possible to understand and detect deception [2, 3]. EEG background activities have been used in a few studies on detection of deception such as [14], analyzing Event Related Potentials (ERPs), especially P300 wave form, has been becoming more popular in Guilty Knowledge Test (GKT) [15,16]. The size or amplitude of P300 at a given recording site is inversely proportional to the rareness of presentation; in practice, probabilities < 0.3 are typically used. It is supposed that only guilty persons are aware of the detail information about the crime Representation of these details in an oddball paradigm to guilty subjects will elicit P300 component in their EEG signals [19]. GKT method has three types of stimuli [18]: 1) Probe (P): This is related to crime that only guilty

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