Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing

I. Pavlidis, J. Levine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

In the present paper we describe a novel method for scoring polygraph tests using thermal image analysis. Our method features three stages: image acquisition, physiological correlation, and pattern classification. First, we acquire facial thermal imagery using an accurate mid-infrared camera. Then, we transform the raw thermal data to blood flow rate data through thermodynamic modeling. Finally, we classify the subject as deceptive or non-deceptive based on the nearest-neighbor classification method. We perform our analysis on the periorbital area of the subject's faces. Our previous research [1][2] has indicated that the periorbital area is the facial area affected the most from blood flow redistribution during anxious states. We present promising experimental results from 18 subjects. We henceforth anticipate that thermal image analysis will play an increasingly important role in polygraph testing as an additional scoring channel. Our ultimate objective is to increase the accuracy and reliability of polygraph testing through the fusion of traditional invasive 1D physiological measurements with novel non-invasive 2D physiological measurements.

Original languageEnglish (US)
Title of host publicationAnnual Reports of the Research Reactor Institute, Kyoto University
Pages2826-2829
Number of pages4
Volume3
StatePublished - 2001
Externally publishedYes
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: Oct 25 2001Oct 28 2001

Other

Other23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryTurkey
CityIstanbul
Period10/25/0110/28/01

Fingerprint

Image analysis
Blood
Flow rate
Monitoring
Testing
Image acquisition
Pattern recognition
Fusion reactions
Cameras
Thermodynamics
Infrared radiation
Hot Temperature

Keywords

  • Blood flow rate
  • Far-infrared
  • Mid-infrared
  • Nearest neighbor classification
  • Polygraph testing
  • Thermal imaging
  • Thermodynamic modeling

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering

Cite this

Pavlidis, I., & Levine, J. (2001). Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing. In Annual Reports of the Research Reactor Institute, Kyoto University (Vol. 3, pp. 2826-2829)

Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing. / Pavlidis, I.; Levine, J.

Annual Reports of the Research Reactor Institute, Kyoto University. Vol. 3 2001. p. 2826-2829.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pavlidis, I & Levine, J 2001, Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing. in Annual Reports of the Research Reactor Institute, Kyoto University. vol. 3, pp. 2826-2829, 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey, 10/25/01.
Pavlidis I, Levine J. Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing. In Annual Reports of the Research Reactor Institute, Kyoto University. Vol. 3. 2001. p. 2826-2829
Pavlidis, I. ; Levine, J. / Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing. Annual Reports of the Research Reactor Institute, Kyoto University. Vol. 3 2001. pp. 2826-2829
@inproceedings{d6da18f992e24bcfac225b4d2873b7af,
title = "Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing",
abstract = "In the present paper we describe a novel method for scoring polygraph tests using thermal image analysis. Our method features three stages: image acquisition, physiological correlation, and pattern classification. First, we acquire facial thermal imagery using an accurate mid-infrared camera. Then, we transform the raw thermal data to blood flow rate data through thermodynamic modeling. Finally, we classify the subject as deceptive or non-deceptive based on the nearest-neighbor classification method. We perform our analysis on the periorbital area of the subject's faces. Our previous research [1][2] has indicated that the periorbital area is the facial area affected the most from blood flow redistribution during anxious states. We present promising experimental results from 18 subjects. We henceforth anticipate that thermal image analysis will play an increasingly important role in polygraph testing as an additional scoring channel. Our ultimate objective is to increase the accuracy and reliability of polygraph testing through the fusion of traditional invasive 1D physiological measurements with novel non-invasive 2D physiological measurements.",
keywords = "Blood flow rate, Far-infrared, Mid-infrared, Nearest neighbor classification, Polygraph testing, Thermal imaging, Thermodynamic modeling",
author = "I. Pavlidis and J. Levine",
year = "2001",
language = "English (US)",
volume = "3",
pages = "2826--2829",
booktitle = "Annual Reports of the Research Reactor Institute, Kyoto University",

}

TY - GEN

T1 - Monitoring of periorbital blood flow rate through thermal image analysis and its application to polygraph testing

AU - Pavlidis, I.

AU - Levine, J.

PY - 2001

Y1 - 2001

N2 - In the present paper we describe a novel method for scoring polygraph tests using thermal image analysis. Our method features three stages: image acquisition, physiological correlation, and pattern classification. First, we acquire facial thermal imagery using an accurate mid-infrared camera. Then, we transform the raw thermal data to blood flow rate data through thermodynamic modeling. Finally, we classify the subject as deceptive or non-deceptive based on the nearest-neighbor classification method. We perform our analysis on the periorbital area of the subject's faces. Our previous research [1][2] has indicated that the periorbital area is the facial area affected the most from blood flow redistribution during anxious states. We present promising experimental results from 18 subjects. We henceforth anticipate that thermal image analysis will play an increasingly important role in polygraph testing as an additional scoring channel. Our ultimate objective is to increase the accuracy and reliability of polygraph testing through the fusion of traditional invasive 1D physiological measurements with novel non-invasive 2D physiological measurements.

AB - In the present paper we describe a novel method for scoring polygraph tests using thermal image analysis. Our method features three stages: image acquisition, physiological correlation, and pattern classification. First, we acquire facial thermal imagery using an accurate mid-infrared camera. Then, we transform the raw thermal data to blood flow rate data through thermodynamic modeling. Finally, we classify the subject as deceptive or non-deceptive based on the nearest-neighbor classification method. We perform our analysis on the periorbital area of the subject's faces. Our previous research [1][2] has indicated that the periorbital area is the facial area affected the most from blood flow redistribution during anxious states. We present promising experimental results from 18 subjects. We henceforth anticipate that thermal image analysis will play an increasingly important role in polygraph testing as an additional scoring channel. Our ultimate objective is to increase the accuracy and reliability of polygraph testing through the fusion of traditional invasive 1D physiological measurements with novel non-invasive 2D physiological measurements.

KW - Blood flow rate

KW - Far-infrared

KW - Mid-infrared

KW - Nearest neighbor classification

KW - Polygraph testing

KW - Thermal imaging

KW - Thermodynamic modeling

UR - http://www.scopus.com/inward/record.url?scp=0035782191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035782191&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0035782191

VL - 3

SP - 2826

EP - 2829

BT - Annual Reports of the Research Reactor Institute, Kyoto University

ER -