Single-trial lie detection using a combined fNIRS-polygraph system
Deception is a human behavior that many people experience in daily life. It involves complex neuronal activities in addition to several physiological changes in the body. A polygraph, which can measure some of the physiological responses from the body, has been widely employed in lie-detection. Many...
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Language: | English |
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Frontiers Media S.A.
2015-06-01
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Series: | Frontiers in Psychology |
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00709/full |
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author | M. Raheel eBhutta Melissa Jiyoun Hong Yun-Hee eKim Keum-Shik eHong Keum-Shik eHong |
author_facet | M. Raheel eBhutta Melissa Jiyoun Hong Yun-Hee eKim Keum-Shik eHong Keum-Shik eHong |
author_sort | M. Raheel eBhutta |
collection | DOAJ |
description | Deception is a human behavior that many people experience in daily life. It involves complex neuronal activities in addition to several physiological changes in the body. A polygraph, which can measure some of the physiological responses from the body, has been widely employed in lie-detection. Many researchers, however, believe that lie detection can become more precise if the neuronal changes that occur in the process of deception can be isolated and measured. In this study, we combine both measures (i.e., physiological and neuronal changes) for enhanced lie-detection. Specifically, to investigate the deception-related hemodynamic response, functional near-infrared spectroscopy (fNIRS) is applied at the prefrontal cortex besides a commercially available polygraph system. A mock crime scenario with a single-trial stimulus is set up as a deception protocol. The acquired data are classified into true and lie classes based on the fNIRS-based hemoglobin-concentration changes and polygraph-based physiological signal changes. Linear discriminant analysis is utilized as a classifier. The results indicate that the combined fNIRS-polygraph system delivers much higher classification accuracy than that of a singular system. This study demonstrates a plausible solution toward single-trial lie-detection by combining fNIRS and the polygraph. |
first_indexed | 2024-04-13T05:02:35Z |
format | Article |
id | doaj.art-715d2db44a3f40878f176d8b7ff64735 |
institution | Directory Open Access Journal |
issn | 1664-1078 |
language | English |
last_indexed | 2024-04-13T05:02:35Z |
publishDate | 2015-06-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychology |
spelling | doaj.art-715d2db44a3f40878f176d8b7ff647352022-12-22T03:01:16ZengFrontiers Media S.A.Frontiers in Psychology1664-10782015-06-01610.3389/fpsyg.2015.00709137910Single-trial lie detection using a combined fNIRS-polygraph systemM. Raheel eBhutta0Melissa Jiyoun Hong1Yun-Hee eKim2Keum-Shik eHong3Keum-Shik eHong4Pusan National UniversityFIRST 5 Santa Clara CountySamsung Medical Center, Sungkyunkwan University School of MedicinePusan National UniversityPusan National UniversityDeception is a human behavior that many people experience in daily life. It involves complex neuronal activities in addition to several physiological changes in the body. A polygraph, which can measure some of the physiological responses from the body, has been widely employed in lie-detection. Many researchers, however, believe that lie detection can become more precise if the neuronal changes that occur in the process of deception can be isolated and measured. In this study, we combine both measures (i.e., physiological and neuronal changes) for enhanced lie-detection. Specifically, to investigate the deception-related hemodynamic response, functional near-infrared spectroscopy (fNIRS) is applied at the prefrontal cortex besides a commercially available polygraph system. A mock crime scenario with a single-trial stimulus is set up as a deception protocol. The acquired data are classified into true and lie classes based on the fNIRS-based hemoglobin-concentration changes and polygraph-based physiological signal changes. Linear discriminant analysis is utilized as a classifier. The results indicate that the combined fNIRS-polygraph system delivers much higher classification accuracy than that of a singular system. This study demonstrates a plausible solution toward single-trial lie-detection by combining fNIRS and the polygraph.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00709/fulldeceptionLinear Discriminant Analysisphysiological responsessingle-trial lie detectioncombined fNIRS-polygraph systemhemoglobin change |
spellingShingle | M. Raheel eBhutta Melissa Jiyoun Hong Yun-Hee eKim Keum-Shik eHong Keum-Shik eHong Single-trial lie detection using a combined fNIRS-polygraph system Frontiers in Psychology deception Linear Discriminant Analysis physiological responses single-trial lie detection combined fNIRS-polygraph system hemoglobin change |
title | Single-trial lie detection using a combined fNIRS-polygraph system |
title_full | Single-trial lie detection using a combined fNIRS-polygraph system |
title_fullStr | Single-trial lie detection using a combined fNIRS-polygraph system |
title_full_unstemmed | Single-trial lie detection using a combined fNIRS-polygraph system |
title_short | Single-trial lie detection using a combined fNIRS-polygraph system |
title_sort | single trial lie detection using a combined fnirs polygraph system |
topic | deception Linear Discriminant Analysis physiological responses single-trial lie detection combined fNIRS-polygraph system hemoglobin change |
url | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00709/full |
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