Gaze Zone

Gaze zone research focuses on understanding and analyzing where individuals direct their visual attention, aiming to improve human-computer interaction, clinical practice, and robotic design. Current research employs deep learning models, particularly transformer-based architectures and vision-language models, to automatically detect and classify gaze targets, often integrating eye-tracking data for improved accuracy and real-time analysis. This work has significant implications for diverse fields, enabling advancements in assistive technologies, objective assessment of clinical performance, and the development of more natural and intuitive human-robot interactions.