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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.<\/jats:p>","DOI":"10.1155\/2015\/984353","type":"journal-article","created":{"date-parts":[[2015,8,4]],"date-time":"2015-08-04T06:29:39Z","timestamp":1438669779000},"page":"1-8","source":"Crossref","is-referenced-by-count":38,"title":["Thermal Infrared Imaging-Based Computational Psychophysiology for Psychometrics"],"prefix":"10.1155","volume":"2015","author":[{"given":"Daniela","family":"Cardone","sequence":"first","affiliation":[{"name":"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"}]},{"given":"Paola","family":"Pinti","sequence":"additional","affiliation":[{"name":"Infrared Imaging Lab, Institute for Advanced Biomedical 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