Lie Detection Analyzing Brain Wave Patterns using EEG Headset

Abstract

Lie is one form of deception. People wants to differentiate between truth and lie but it is not always possible. Truth always show the right path. From ancient time, different methods were applied to find out the truth. Mostly in judiciary and for security of a nation, we need to check whether a person is telling the truth or not. Most of the methods are based on body’s states that can be altered easily. But brain waves are not easy to alter. So, in this research project we have tried to detect lie by analyzing brain waves. Brain waves can be detect using EEG Headset. It produces lots of data of brain signal that has been analyzed using data mining techniques. And machine learning & neural network algorithms are used to make decision based on the collected data. Neural oscillation are collected using an EEG headset during question-answer session. After that data were preprocessed and then three algorithms (two class locally deep SVM, two class decision forest tree and two class neural network) that were selected were applied on the data. We have found 63.1% accuracy in Two Class locally Deep SVM, 99.2 % accuracy in Two Class Decision Forest and 55.7% accuracy in Two Class Neural Network algorithm.