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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 984353, 8 pages
http://dx.doi.org/10.1155/2015/984353
Review Article

Thermal Infrared Imaging-Based Computational Psychophysiology for Psychometrics

Infrared Imaging Lab, Institute for Advanced Biomedical Technology (ITAB), Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, Via Luigi Polacchi 11, 66013 Chieti, Italy

Received 15 October 2014; Revised 5 January 2015; Accepted 27 January 2015

Academic Editor: Dimitris Giakoumis

Copyright © 2015 Daniela Cardone et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Thermal infrared imaging has been proposed as a potential system for the computational assessment of human autonomic nervous activity and psychophysiological states in a contactless and noninvasive way. Through bioheat modeling of facial thermal imagery, several vital signs can be extracted, including localized blood perfusion, cardiac pulse, breath rate, and sudomotor response, since all these parameters impact the cutaneous temperature. The obtained physiological information could then be used to draw inferences about a variety of psychophysiological or affective states, as proved by the increasing number of psychophysiological studies using thermal infrared imaging. This paper presents therefore a review of the principal achievements of thermal infrared imaging in computational physiology with regard to its capability of monitoring psychophysiological activity.