International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 7 Issue 4
July-August 2025

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Hands-Free Cursor Control Through Eyeball using Python

Author(s) Mr. Anapu Poorna Chandra, Pinnamraju T S Priya
Country India
Abstract This study proposes a revolutionary Human-Computer Interaction (HCI) technology that allows for computer control using eye movements, with a focus on those with physical limitations. Users with limited mobility frequently find themselves unable to utilize traditional input devices such as a mouse or keyboard. To solve this issue, we created a vision-based system that uses Python, OpenCV, and the MediaPipe modules to identify and monitor pupil movements in real time.
The suggested technology uses a camera to capture eye movements, which are then used to identify the pupil's center. By mapping these coordinates, the system allows users to move the mouse pointer across the screen. Furthermore, PyAutoGUI interprets eye blinks as click events, which eliminates the requirement for physical contact.
The work provides an eye-controlled mouse technology designed to assist physically challenged persons in interacting with computers. This methodology offers a low-cost and accessible method of managing computers, encouraging inclusiveness for users with motor disabilities. The device shows impressive accuracy and responsiveness, with possible applications in assistive technologies, gaming, and touchless interfaces.
Keywords Eye tracking, Human-Computer Interaction (HCI), Assistive technology, Cursor control, Blink detection, Computer vision, OpenCV, MediaPipe, PyAutoGUI, Touchless interface, Inclusive computing, Real-time eye tracking, Pupil detection.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-07-25
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.52038
Short DOI https://doi.org/g9vpwq
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