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Deception Detection by Hybrid-Pair Wireless fNIRS System
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Author(s): Hong Di (University of International Relations, Department of Information Science and Technology, Beijing, China)and Xin Zhang (Chinese Academy of Sciences, Institute of Automation, Beijing, China)
Copyright: 2017
Volume: 9
Issue: 2
Pages: 10
Source title:
International Journal of Digital Crime and Forensics (IJDCF)
Editor(s)-in-Chief: Feng Liu (Chinese Academy of Sciences, China)
DOI: 10.4018/IJDCF.2017040102
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Abstract
Normal fNIRS setting up was limited by superficial physiological noises when applied into the deception detection. We designed a hybrid-pair wireless fNIRS system to improve the detection. The system takes advantages of short-pair channel to suppress the effect of physiological noises, and wireless module to improve the comfortableness of wearing it. We applied the system into a modified Guilty Knowledge Test. The experiment demonstrated that normal metrics might hint different energy consume during lying, while the regional oxygen saturation rSO2, specific in the system, is sensitive to indicate a lying.
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