Hand and Eye Gesture Recognition for Cursor Control

This project explores a novel approach to cursor control through the integration of hand and eye gestures, eliminating the need for a traditional mouse. By combining hand gestures—captured through computer vision—with eye-tracking technology, users can achieve both broad and precise control. Eye gestures enable fast and accurate cursor positioning, while hand movements perform actions like clicks, drags, and other commands. This dual- modality system offers an accessible interaction model, especially benefiting users with disabilities. The project leverages advanced computer vision and eye- tracking software to deliver an intuitive interface designed to enhance user accessibility and interaction.