Human-Computer Interaction (HCI) represents a constantly updated field of study that seeks to optimize the user experience by combining computer science, psychology, design and other areas for the creation of interfaces and devices with an empathetic approach and directed to the user’s perspective, reducing friction and frustration, allowing the user to have a leading role in terms of accessibility. This work oriented to computer access aims to provide an accessible and efficient solution for cursor control and clicks by detecting eye movements and blinks, significantly improving human-computer interaction for users with motor disabilities. To carry it out, the Python programming language is used, with which a modular algorithm was created that allows a separation of responsibilities that facilitates its maintenance and future expansion. The Eye Aspect Ratio (EAR) is used and blink detection is performed, the video is captured from a camera to process the image and identify key points of the eye, and the pupil position is calculated and the mouse cursor is moved accordingly, using an exponential averaging filter to smooth out the motion. The developed algorithm has potential application in the field of accessibility for the creation of human-machine interfaces that allow users to control their devices through eye movements, which can be of great help to people with motor disabilities. The implementation of advanced eye control techniques in the field of accessibility is important because they not only improve the quality of life of people with disabilities but also promote inclusion and equal opportunities.