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

I. Pavlidis, J. Levine

Research output: Contribution to journalConference articlepeer-review

20 Scopus citations


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)
Pages (from-to)2826-2829
Number of pages4
JournalAnnual Reports of the Research Reactor Institute, Kyoto University
StatePublished - Dec 1 2001
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: Oct 25 2001Oct 28 2001


  • 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


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