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.
