Eye tracking system has a suitable design which controls any devices which has digital screen with the eyeball movement and gesture without any help of required hardware. This technical concept has a potential to abolish and replace the standard mouse with the human eyes as a new way to interact and communicate with computer and also intended to replace standard computer screen pointing devices for the use of disable and handicapped people or as an alternative for using mouse which is very easy to use for faster input process. The system makes use of a PC webcam in order to detect eye movement. The system continuously scans camera input for pattern similar to the eye. Once the eye is detected, the system locks it as an object. The eye moment image is captured and transmitted by Raspberry Pi 3 model b and Microcontroller in order to process with OpenCV to derive the coordinator of the eyeball. The approach we described and defined is a real-time, non-intrusive, quick and cost-effective method of tracking facial features with the help of IR sensors.

human computer interaction (HCL), Eyeball movement, OpenCV, Python, Raspberry Pi

[1]“Eyeball based Cursor Movement Control”Sivasangari.A, Deepa.D, Anandhi.T, Anitha Ponraj and Roobini.M.S, International Conference on Communication and Signal Processing, July 28 - 30, 2020, India.
[2]. EYE BALL CURSOR DETECTION USING IMAGE PROCESSING ,Siddhesh Shirsath1, Suraj Tiwari2, Rushikesh Kalyane3, Malhari Shinde4 1,2,3,4 UG Students of Computer Engineering, Sinhgad Institute of Technology, Maharashtra, India IJARIIE-ISSN(O)-2395-4396 Vol-7 Issue-3 2021
[3]. Eyeball Movement based Cursor Control using Raspberry Pi and OpenCV , J. Sreedevi, M. Shreya Reddy, B. Satyanarayana International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-7, May
[4]A Wearable Gestural Interface:www.pranavmistry.com/projects/sixthsense/ (05.04.2017)
[5] “Pupil center coordinates detection using the circular Hough transform technique” https://ieeexplore.ieee.org/document/7248041/ (2015)
[6] John J. Magee, MargritBetke, James Gips, Matthew R. Scott, and Benjamin
N.Waber“A Human-Computer Interface Using Symmetry Between Eyes to Detect Gaze Direction” IEEE Trans, Vol. 38, no.6,pp.1248-1259, Nov (2008).
[7] SunitaBarve, DhavalDholakiya, Shashank Gupta, DhananjayDhatrak, “Facial Feature Based Method For Real Time Face Detection and Tracking I-CURSOR”, International Journal of EnggResearchand App., Vol. 2, pp. 1406-1410, Apr (2012).
[8] Yu-Tzu Lin Ruei-Yan Lin Yu-Chih Lin Greg C Lee“Real-time eye-gaze estimation using a low-resolution webcam”, Springer, pp.543-568, Aug (2012).
[9] Samuel Epstein-Eric MissimerMargritBetke “Using Kernels for avideo-based mouse-replacement interface”, Springer link, Nov (2012)
[10] Hossain, Zakir, Md Maruf Hossain Shuvo, and Prionjit Sarker. "Hardware and software implementation of real time electrooculogram (EOG) acquisition system to control computer cursor with eyeball movement." In 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), pp. 132-137. IEEE, 2017