A method for extracting eye movement and response characteristics to distinguish depressed people

Abstract

Eye movement is an important characteristic in the field of image processing and psychology, which reflects people’s attention bias. How to design a paradigm with the function of psychological discrimination to extract significant eye movement characteristic is a challenging task. In this paper, we present a novel psychology evaluation system with eye tracking. Negative and positive background images from IAPS and Google are chosen based on the Minnesota Multiphasic Personality Inventory (MMPI). Meanwhile, negative and positive face images are used as emotional foreground. The location of the face images is shown on the left or right randomly. In this paradigm, people with different psychological status have different characteristics of eye movement length, fixation points and response time. The experimental results show that these characteristics have significant discriminability and can be used to distinguish depressed and normal people effectively.