Mouse-Cursor Movement and Control Using Eye Gaze-A Human Computer Interaction

Abstract

An emerging technology is human computer interaction (HCI).It is the technique that provide the ways to the human interact with the computers. Gaze interaction is one kind of human computer interaction(HCI). One of the most important HCI strategies is the eye gazing method, which enables the user to operate the display without using their hands. Direct eye movement detection, template, appearance, form, feature, hybrid, regression, clustering 3D methods et cetera. are all ways to categorize eye gaze detection techniques. Deep learning, a technology that mimics human behavior and behaviors like speech recognition, image recognition, language translation, and other things, can make this possible. Gaze interaction is the process of making interconnection between the human body part and the smart device. Devices takes input from the human on the real time. An web camera was employed in this study to capture an frame of an eye frame for mouse-cursor movement. In connection with the point previously mentioned, we must first concentrate on the function of our eye. We are employing a web camera for pupil identification, which can manage the computer's cursor. For this paper, an Aspect Ratio Eye (EAR) is determined that corresponds to the blinks of eye's (right or left) applying the library of Mediapipe which is Open Source and acts as a computer vision library. You can provide smart people with crippled limbs who are having trouble using computers a chance to express their opinions. Our method's primary objective is improving the experience of using computer for physically disabled people by assisting them in overcoming challenges like using a mouse.