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OpenCV-Based Eye Movement Detection for Cursor Navigation
The Eye Gaze-Based Cursor Control System using OpenCV is developed to provide a handsfree method of controlling the computer cursor through eye movements. The main objective of this project is to assist individuals with physical disabilities who find it difficult to use a conventional mouse or keyboard. The system uses a standard webcam to capture real-time video and detect the user's face and eye region. By tracking the position of the pupil with the help of OpenCV, Dlib, and Python libraries, the cursor moves according to the direction of the user's eye movement. The implementation is simple, costeffective, and does not require any specialized hardware or wearable sensors. This approach improves accessibility while offering a natural and convenient way of interacting with a computer. The project demonstrates that computer vision techniques can be effectively used to build user-friendly humancomputer interaction systems, making digital technology more accessible to people with motor impairments and enhancing their independence.
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