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Thermal Infrared Imaging-Based Computational Psychophysiology for Psychometrics
Joint Authors
Cardone, Daniela
Pinti, Paola
Merla, Arcangelo
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Cardone, Daniela& Pinti, Paola& Merla, Arcangelo. 2015. Thermal Infrared Imaging-Based Computational Psychophysiology for Psychometrics. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1058053
Modern Language Association (MLA)
Cardone, Daniela…[et al.]. Thermal Infrared Imaging-Based Computational Psychophysiology for Psychometrics. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1058053
American Medical Association (AMA)
Cardone, Daniela& Pinti, Paola& Merla, Arcangelo. Thermal Infrared Imaging-Based Computational Psychophysiology for Psychometrics. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1058053
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058053