PUPIL BASED MOUSE CONTROL FOR DISABLED PEOPLE USING ARTIFCIAL NEURAL NETWORK

We describe a system that allows humans and computers to interact without using their hands. Our technology uses human facial traits to replace traditional mice in a novel way. It employs image processing techniques such as face detection and eye extraction. It captures an input image using a standard webcam. Controlling the mouse cursor is accomplished by moving the face up, down, left, and right, and mouse events are controlled by eye blinks, while keyboard events are controlled by handgestures. To carry out these actions, various algorithms such as the Haar Cascade method and Dlib are used. Our solution is primarily intended for impaired individuals to communicate effectively with computers.