Title :
Multimodal Detection of Deception using Fusion of Reaction Time and P300 Component
Author :
Mohammadian, A. ; Abootalebi, V. ; Moradi, M.H. ; Khalilzadeh, M.A.
Author_Institution :
Res. Center of Intell. Signal Process., Tehran
Abstract :
Current lie detection methods, based on the polygraph technique, rely upon the measurement of several physiological characteristics to discriminate whether a truth or a lie is expressed. Direct electro-encephalographic (EEG) measurements of event-related brain potentials (ERP) to particular questions or situations can also be used. The purpose of this study is to evaluate RT (Reaction Time) analysis and combined RT and ERP to identify participants is possessing specific guilty knowledge. The accuracy of BART (bootstrapped analysis of reaction time) method is 81% which are comparable to 80% accuracy of ERP analysis (Wavelet classifier method) in previous study. BART-BAD method has the best accuracy compared to multimodal methods and has superior results compared to the single mode analysis (BAD method). BAD-BART method proposed as best approach for Assess "Guilty Knowledge".
Keywords :
bioelectric potentials; electroencephalography; medical signal processing; neurophysiology; wavelet transforms; BAD-BART method; P300 component; bootstrapped analysis of reaction time; deception; direct electroencephalographic measurement; event-related brain potentials; guilty knowledge; lie detection method; multimodal detection; polygraph technique; reaction time analysis; wavelet classifier method; Biomedical measurements; Brain; Delay; Electroencephalography; Enterprise resource planning; Magnetic resonance imaging; Particle measurements; Probes; Testing; Time measurement; Guilty knowledge; P300; Reaction Times;
Conference_Titel :
Biomedical Engineering Conference, 2008. CIBEC 2008. Cairo International
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-2694-2
Electronic_ISBN :
978-1-4244-2695-9
DOI :
10.1109/CIBEC.2008.4786064