Abstract: Individual Human Machine Interference (HMI) systems are available now to provide improved human-computer communication. People used to use keyboards and mice as input devices back in the day. Individuals experiencing locomotor difficulties are unable to operate computers. For those who are disabled or handicapped, the concept of operating computers with the eyes will be quite helpful. Additionally, having this kind of control will do away with the need for additional assistance from someone to operate the computer. The pupil's center is intimately related to the movement of the cursor. Finding the center of the eye would therefore be our first task. OpenCV and Eye-Tracking are used to carry out this pupil detection technique.

Keywords: eye-ball movement curve, eye-tracking algorithm, deep learning, and webcam.

Cite:
Mrs. MD. Jareena Begum, Bh. Dhathri Devi, K. Prasanthi, B. Moulika,"Eye-Ball Movement Based Cursor Control System Using Deep Learning", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11325.

| DOI: 10.17148/IARJSET.2024.11325