Case Study: Detecting human conditions through eye movement
This project focuses on detecting and analyzing human conditions by leveraging advanced video analytics and Fourier time series transformations to scrutinize eye movements. The goal is to achieve subpixel accuracy in eye movement tracking to accurately identify various physiological and psychological states.