DocumentCode :
3763735
Title :
An experiment of lie detection based EEG-P300 classified by SVM algorithm
Author :
Artha Ivonita Simbolon;Arjon Turnip;Jeperson Hutahaean;Yessica Siagian;Novica Irawati
Author_Institution :
Technical Implementation Unit for Instrumentation Development, Indonesian Institute of Sciences, Bandung, Indonesia
fYear :
2015
Firstpage :
68
Lastpage :
71
Abstract :
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.
Keywords :
"Support vector machines","Electroencephalography","Computational modeling","Feature extraction","Brain models","Probes"
Publisher :
ieee
Conference_Titel :
Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology (ICACOMIT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICACOMIT.2015.7440177
Filename :
7440177
Link To Document :
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