Using EEG and fNIRS Signals as Polygraph

Two different BCI techniques, electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) are compared for lie detection efficiency in this paper. The experimental data included are based on responses to a series of true or false questions. All participants were college students between the ages 20 and 24 years. The data from the students were collected using the g.Nautilus fNIRS-8 BCI headset, which is capable of recording both EEG and fNIRS simultaneously. After acquiring data using these BCI techniques, postprocessing was done using MATLAB/Simulink to check the performance of lie detection. Data analysis showed that both EEG and fNIRS have promise to be the new method to determine if someone is lying.