AFFECTIVE IMAGING

Detecting, Analyzing and Reporting Physiological Responses to Emotions

Thermetry is an adjunct tool for professional insight into affective states and cognitive appraisals by analyzing physiological responses to stimuli through functional infrared imaging.  This innovative technology intelligently detects key regions of the face and measures fluctuations of subcutaneous blood flow based responses to stimuli.  Comprehensive reports are automatically generated to illustrate stimulus-response correlations through interpretive visual analytic tools for organized, user-friendly referencing.  Thermetry's Psychophysiology IR applications can be programmed with audiovisual content for fully-automated evaluations or programmed for semi-structured events that allow professionals to use external resources and models.

THE PROCESS

INFRARED RESEARCH

Vasoconstriction and vasodilation of facial blood vessels occur during affective states and emotional arousal.  Blood flow increases or decreases within distinct facial regions based on the affective state.  For instance, embarrassment increases blood flow to the cheeks, often associated with visible "blushing" skin redness [1], while fear can constrict blood flow to the cheeks [2].  In addition, skin surface temperatures increase with vasodilation and decrease with vasoconstriction [3].  Infrared imaging is a non-invasive, non-contact means to measure these changes in temperature within distinct facial regions [4].  Psychophysiology IR intelligently detects, measures, and analyzes infrared emissions, including fluctuations onsets, peaks, and offsets from the forehead, periorbital, nasal, cheek and perioral regions of the face.  Reports are automatically generated from the data to aid professionals with quantifiable stimulus-responses.

1.  Shearn, D., Bergman, E., Hill, K., Abel, A. Facial Coloration and Temperature Responses in Blushing.  Psychophysiology. 1990; 27:687-93.

2.  Levine, J. A., Pavlidis, I., Cooper, M. The Face of Fear. Lancet. 2001; 357:1721-1812

3.  Latif M. H., Md. Yusof H., Sidek S. N., Rusli N.,  Sado F.   Emotion Detection From Thermal Facial Imprint Based on GLCM Features.  ARPN Journal of Engineering and Applied Sciences.  2016; 11(1):345-50

4.  Hahn, A. C., Whitehead, R. D., Albrecht, M., Lefevre, C. E., Perrett, D. I.  Hot or not? Thermal Reactions to Social Contact. Biology Letters. 2012; 8:864-867

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