Eye and Face-Controlled Mouse Based on Human-Computer Interaction

Abstract

In the current digital era, prospects for computer improvements are constantly presented by developments in the applied sciences. Hands-free computer solutions are becoming more and more popular these days, especially for people who have quadriplegia. A Human-Computer Interaction (HCI) system that is especially helpful for amputees and other people who might have trouble utilising their hands is presented in this study. Eye motions including blinking, looking, and squinting are translated into comparable mouse cursor operations via the created system's eye-tracking interface, which works similarly to a computer mouse.The gadget under discussion makes use of a regular camera, and it requires Python (3.6), OpenCV, NumPy, and a number of other facial recognition-related apps. The HOG (Histogram of Orientated Gradients) technique may be used to recognise faces by combining the sliding window approach with a deep learning algorithm (CNN) or linear classifier. Because it doesn't require any extra gear or sensors, this system is completely hands-free.