Literature DB >> 18001935

Forehead thermal signature extraction in lie detection.

Zhen Zhu1, Panagiotis Tsiamyrtzis, Ioannis Pavlidis.   

Abstract

Previous work demonstrated that facial thermography can be successful in lie detection. In those studies the development was based on the thermal signature of the periorbital region. In the present paper a new source of psycho-physiological information is proposed: the forehead. We found that the corrugator muscle in the forehead is more active than usual, when the individual experiences sustained stress. As a result, more blood flows through the supraorbital vasculature, increasing the cutaneous forehead temperature. In order to monitor the thermal signature of the forehead's cutaneous tissue, a segmentation method based on active contours has been developed. This creates a virtual forehead probe that can monitor stress levels by measuring thermal radiation over the supraorbital vessels. Thermal videos of 38 subjects under interrogation for a mock crime scenario were used to test the new approach. The results show that the recovered forehead signal, enables 76.3% success rate in deceptive state classification. Thus, the forehead channel shows promise in lie detection.

Mesh:

Year:  2007        PMID: 18001935     DOI: 10.1109/IEMBS.2007.4352269

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  12 in total

1.  Data-driven analysis of facial thermal responses and multimodal physiological consistency among subjects.

Authors:  Saurabh Sonkusare; Michael Breakspear; Tianji Pang; Vinh Thai Nguyen; Sascha Frydman; Christine Cong Guo; Matthew J Aburn
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.996

2.  Proximity and gaze influences facial temperature: a thermal infrared imaging study.

Authors:  Stephanos Ioannou; Paul Morris; Hayley Mercer; Marc Baker; Vittorio Gallese; Vasudevi Reddy
Journal:  Front Psychol       Date:  2014-08-04

3.  Thermal signatures of voluntary deception in ecological conditions.

Authors:  Maria Serena Panasiti; Daniela Cardone; Enea F Pavone; Alessandra Mancini; Arcangelo Merla; Salvatore M Aglioti
Journal:  Sci Rep       Date:  2016-10-13       Impact factor: 4.379

Review 4.  New Frontiers for Applications of Thermal Infrared Imaging Devices: Computational Psychopshysiology in the Neurosciences.

Authors:  Daniela Cardone; Arcangelo Merla
Journal:  Sensors (Basel)       Date:  2017-05-05       Impact factor: 3.576

5.  The facial expression of schizophrenic patients applied with infrared thermal facial image sequence.

Authors:  Bo-Lin Jian; Chieh-Li Chen; Wen-Lin Chu; Min-Wei Huang
Journal:  BMC Psychiatry       Date:  2017-06-24       Impact factor: 3.630

Review 6.  Thermal Infrared Imaging-Based Computational Psychophysiology for Psychometrics.

Authors:  Daniela Cardone; Paola Pinti; Arcangelo Merla
Journal:  Comput Math Methods Med       Date:  2015-08-03       Impact factor: 2.238

7.  Intelligent neonatal monitoring based on a virtual thermal sensor.

Authors:  Abbas K Abbas; Steffen Leonhardt
Journal:  BMC Med Imaging       Date:  2014-03-02       Impact factor: 1.930

Review 8.  Thermal infrared imaging in psychophysiology: potentialities and limits.

Authors:  Stephanos Ioannou; Vittorio Gallese; Arcangelo Merla
Journal:  Psychophysiology       Date:  2014-06-24       Impact factor: 4.016

9.  Behavioral and facial thermal variations in 3-to 4-month-old infants during the Still-Face Paradigm.

Authors:  Tiziana Aureli; Annalisa Grazia; Daniela Cardone; Arcangelo Merla
Journal:  Front Psychol       Date:  2015-10-14

10.  Seeing a Blush on the Visible and Invisible Spectrum: A Functional Thermal Infrared Imaging Study.

Authors:  Stephanos Ioannou; Paul H Morris; Marc Baker; Vasudevi Reddy; Vittorio Gallese
Journal:  Front Hum Neurosci       Date:  2017-11-03       Impact factor: 3.169

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