An Experiment of Lie Detection based EEG-P300 Classified by SVM Algorithm

被引：0

作者：

Simbolon, Artha Ivonita ^{[1
]}

Turnip, Arjon ^{[1
]}

Hutahaean, Jeperson ^{[2
]}

Siagian, Yessica ^{[2
]}

Irawati, Novica ^{[2
]}

机构：

[1] Indonesian Inst Sci, Tech Implementat Unit Instrumentat Dev, Bandung, Indonesia

[2] STMIK Royal Kisaran, Dept Informat Syst, Dept Phys, North Sumatra, Indonesia

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, COGNITIVE SCIENCE, OPTICS, MICRO ELECTRO-MECHANICAL SYSTEM, AND INFORMATION TECHNOLOGY (ICACOMIT) | 2015年

关键词：

ERP method; signal P300; SVM method; EEG; EXTRACTION; REMOVAL; P300; ICA;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

ERP method is chosen to identify whether a person is lying or not. It comprises of three steps and utilizes signal P300 as marker. For the sake of simplicity, Matlab based program is constructed to take over the processes. Eleven males whose age is between 20 and 27 were subject to the experiment. The gathered data were then divided into training and test data to produce several models. They were then narrowed down using SVM method based on accuracy and computation time. Despite being relatively low in accuracy, the resulting model that is used in the program proved to be able to discern all of the subjects.

引用

页码：68 / 71

页数：4

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