Non-intrusive stress and anxiety detection By thermal video analysis

In this work, we investigate the methods for analysis of information from facial thermal video for non-intrusive detecting stress and anxiety. We designed tasks to induce mental stress and anxiety, and built a database of facial thermal video for 25 subjects. Using the data and the facial landmarks information, we extracted valuable physiological features from thermal videos and estimate the subjects’ mental states. Our experimental results show that stress and anxiety can be efficiently detected from non-intrusive thermal videos.