3D Gaze Estimation

3D gaze estimation aims to accurately determine where a person is looking in three-dimensional space, a crucial task for human-computer interaction and other applications. Current research focuses on improving accuracy and robustness using deep learning models, often incorporating attention mechanisms and leveraging techniques like user adaptation to personalize gaze prediction and address variations in individual anatomy. These advancements are driven by the need for reliable gaze estimation in unconstrained environments and are impacting fields such as virtual reality, collaborative mixed-reality systems, and privacy-preserving human behavior analysis.