Detection and classification of stress using thermal imaging technique

This paper reports how Electro-Optics (EO) technologies such as thermal and hyperspectral [1-3] imaging methods can be used for the detection of stress remotely. Emotional or physical stresses induce a surge of adrenaline in the blood stream under the command of the sympathetic nerve system, which, cannot be suppressed by training. The onset of this alleviated level of adrenaline triggers a number of physiological chain reactions in the body, such as dilation of pupil and an increased feed of blood to muscles etc. The capture of physiological responses, specifically the increase of blood volume to pupil, have been reported by Pavlidis's pioneer thermal imaging work [4-7] who has shown a remarkable increase of skin temperature in the periorbital region at the onset of stress. Our data has shown that other areas such as the forehead, neck and cheek also exhibit alleviated skin temperatures dependent on the types of stressors. Our result has also observed very similar thermal patterns due to physical exercising, to the one that induced by other physical stressors, apparently in contradiction to Pavlidis's work [8]. Furthermore, we have found patches of alleviated temperature regions in the forehead forming patterns characteristic to the types of stressors, dependent on whether they are physical or emotional in origin. These stress induced thermal patterns have been seen to be quite distinct to the one resulting from having high fever.

[1]  Marc Garbey,et al.  Interacting with human physiology , 2007, Comput. Vis. Image Underst..

[2]  J Grayson,et al.  The effect of adrenaline and noradrenaline on coronary vascular reserve in the dog. , 1980, The Journal of physiology.

[3]  Pradeep Buddharaju,et al.  Physiology-Based Face Recognition in the Thermal Infrared Spectrum , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  I. Pavlidis,et al.  Thermal image analysis for polygraph testing. , 2002, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[5]  Dvijesh Shastri,et al.  Imaging Facial Physiology for the Detection of Deceit , 2006, International Journal of Computer Vision.

[6]  Ioannis Pavlidis,et al.  The face of fear , 2001 .

[7]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.