Abstract: Recent advancements in technology have played a pivotal role in enhancing various aspects of human life. Recognizing the valuable contributions of individuals with disabilities to society, it is crucial to facilitate their effective engagement through appropriate platforms. A prototype has been devised to operate household appliances by tracking eye movements for cursor manipulation. Through capturing eye movements via a camera and pinpointing the center position of the pupil, a range of commands for a virtual keyboard are generated. These commands enable interaction with the virtual keyboard through a motor driver, allowing the prototype to maneuver in different directions based on the chosen command. The contemporary computing industry is dedicated to advancing hands-free computing to aid quadriplegics. This article proposes a Human-Computer Interaction (HCI) system specifically designed for individuals facing amputations or hand mobility impairments. This system employs eye-based interfaces to translate various eye movements like blinking, staring, and squinting into actions of the mouse cursor. The implementation of this system necessitates the utilization of Python, OpenCV, NumPy, and other software tools for face recognition utilizing a standard webcam. Techniques such as the HOG feature, linear classifiers, and the sliding window method can construct a face detector devoid of additional equipment or sensors, ensuring a hands-free experience. The paper introduces an innovative algorithm for managing the movement of a computer screen cursor through iris movements. By accurately detecting the iris position within the eye and mapping it to specific locations on the computer screen, the algorithm empowers physically challenged individuals to control cursor movements in all directions. Moreover, the algorithm facilitates actions such as opening and closing folders, files, or applications through a clicking mechanism.

Keywords: Technology advancements, Technology advancements, Eye tracking, Hands-free computing.

| DOI: 10.17148/IARJSET.2024.11516