Using EEG and fNIRS Signals as Polygraph

被引：4

作者：

Khalil, Mohammad Affan ^{[1
]}

Ramirez, Maria ^{[1
]}

George, Kiran ^{[1
]}

机构：

[1] Calif State Univ Fullerton, Comp Engn Dept, Fullerton, CA 92634 USA

来源：

2022 IEEE 12TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC) | 2022年

关键词：

electroencephalogram (EEG); Functional near-infrared spectroscopy (fNIRS); brain-computer interface (BCI); Lie detection;

D O I：

10.1109/CCWC54503.2022.9720780

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：441 / 445

页数：5

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