Depression detection system based on Gaze Tracking technology

Depression is a common mental health problem that affects individuals in many aspects, including emotional, cognitive, behavioral, and physiological levels. The impact of depression is profound, not only affecting the patients themselves but also affecting their families and society. Therefore, timely recognition of the symptoms of depression and seeking professional mental health services are critical to improving patients' quality of life and preventing potentially serious consequences. Based on psychology and computer vision research, this paper proposes a method to detect depression using GazeTracking technology. This method is simple to use, has small requirements for the running environment and cost, and helps detect and prevent depression in multiple scenarios.