Using Thermal Images and Physiological Features to Model Human Behavior: A Survey

摘要

Physiological signals provide a reliable method to identify the physical and mental state of a person at any given point in time. Multiple techniques are used to extract physiological signals from the human body. However, these techniques require contact and cooperation of the individual as well as human effort for connecting the devices and collecting the needed measurement. Thermal imaging provides a non-contact approach for acquiring these signals. New applications are exploring ways to utilize physiological features extracted from thermal images to detect subtle changes in human physiology. In this paper, we provide a review of applications, which propose a variety of innovative techniques to model human behavior by analyzing thermal videos.