DocumentCode :
133022
Title :
Hemodynamic signals based lie detection using a new wireless NIRS system
Author :
Raheel Bhutta, M. ; Keum-Shik Hong ; Naseer, Noman ; Jawad Khan, M.
Author_Institution :
Dept. of Cogno-Mechatron. Eng., Pusan Nat. Univ., Busan, South Korea
fYear :
2014
fDate :
9-12 Sept. 2014
Firstpage :
979
Lastpage :
984
Abstract :
In this paper, we have demonstrated the ability of a new multi-channel near-infrared spectroscopy (NIRS) system to detect deception in a concealed information test (CIT) paradigm. Brain signals from prefrontal cortex area of four healthy male subjects are collected using two different machines for comparison. Oxy and deoxy-hemoglobin (HbO and HbR) signals are used to define the features and then data is classified using linear discriminant analysis (LDA). Results show that the difference in HbO and HbR signals during lie and truth can be detected by the new wireless NIRS system.
Keywords :
biochemistry; bioelectric potentials; brain; feature extraction; haemodynamics; infrared spectra; medical signal detection; medical signal processing; molecular biophysics; proteins; telemedicine; brain signals; concealed information test paradigm; deception detection; deoxyhemoglobin signals; feature classification; hemodynamic signals; lie detection; linear discriminant analysis; multichannel near-infrared spectroscopy system; prefrontal cortex area; wireless NIRS system; Accuracy; Biomedical optical imaging; Brain; Decoding; Optical imaging; Spectroscopy; Wireless communication; Functional near-infrared spectroscopy; concealed information test; deception decoding; hemoglobin change; lie detection; linear discriminant analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference (SICE), 2014 Proceedings of the
Conference_Location :
Sapporo
Type :
conf
DOI :
10.1109/SICE.2014.6935240
Filename :
6935240
Link To Document :
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