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