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《Acta Electronica Sinica》 2017-08
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Lie Detection Analysis Based on the Sample Entropy of EEG

GAO Jun-feng;SI Hui-fang;YU Bin;GU Ling-yun;LIANG Ying;YANG Yong;School of Biomedical Engineering,South-Central University for Nationalities & Key Laboratory of Cognitive Science,State Ethnic Affairs Commission & Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment;School of Life Science and Technology;School of Information Technology,Jiangxi University of Finance and Economics;  
There is great significance in lie detection for the criminal investigations and lawtrials. In this study,according to the nonlinear characteristics of electroencephalography( EEG),it is the first time to use the sample entropy( SE),a nonlinear dynamical parameter of EEG,to see if someone is lying. The sample entropy values of 30 subjects' EEG signals in lying or honesty states were calculated and analyzed. The study found that the fluctuating range of SE values in honesty was obviously less than that in lying. It is more important that the SE values in lying was significantly higher than the honesty,which indicated that SE could be used to distinguish EEG signals between two different states of honesty and lying. This research provides a newway for EEG-based lie detection.
【Key Words】: lie detection electroencephalography(EEG) signals nonlinear characteristic sample entropy
【Fund】: 国家自然科学基金(No.81271659 No.31201001);; 中国博士后科学基金(No.2014M552346)
【CateGory Index】: R318;TN911.7
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