Abstract
Eye gaze detection is becoming an essential component in modern Human?Computer Interaction (HCI) due to its applications in assistive systems, driver monitoring, educational technologies, and immersive environments like VR/AR. Traditional gaze-tracking relies heavily on infrared sensors or specialized hardware, making such systems expensive and inaccessible for wide-scale deployment. This paper introduces GazeTrack, a real-time, lightweight, and cost-effective deep learning-based gaze detection system that operates solely using a standard webcam. By combining MediaPipe Face Mesh for extracting 468 facial landmarks with geometric analysis of the eye region, the system accurately classifies gaze directions such as Left, Right, Up, Down, and Center. The system maintains high accuracy (above 90%) and real-time performance (30?60 FPS) on standard hardware, making it highly suitable for low-cost real-world applications.
Citations
IRE Journals:
Dhanushree C P, Nisarga N P, Manoj Kumar C S, Niba Mehak, Abdul Rahman "Eye Gaze Detection" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 2292-2295 https://doi.org/10.64388/IREV9I5-1712514
IEEE:
Dhanushree C P, Nisarga N P, Manoj Kumar C S, Niba Mehak, Abdul Rahman
"Eye Gaze Detection" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712514
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 8:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12