Research ->Projects, Publications, Software & Datasets, People

Projects -> Eye Tracking Solutions

 

Goal: Create eye tracking solutions that would work with unmodified existing web-cameras. Perform eye tracking on unmodified mobile devices, e.g., tablets.

Motivation: Eye tracking field is rapidly growing with the recent push to miniaturize eye trackers and make them a part of common computing devices. We investigate ways of bringing reliable eye tracking to mobile platforms without requiring additional hardware.

Project Status: Looking for students interested in the project. Please contact Dr. Komogortsev if interested in participation.

Publications:

C. Holland, A. Garza, E. Kurtova, J. Cruz, and O. V. Komogortsev, Usability Evaluation of Eye Tracking on an Unmodified Common Tablet, In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Paris, France, 2013, pp. 1-6. [.pdf]

C. Holland and O. V. Komogortsev, Eye Tracking on Unmodified Common Tablets: Challenges and Solutions, In Proceedings of ACM Eye Tracking Research & Applications Symposium, Santa Barbara, CA, 2012, pp. 1-4. [.pdf]

W. Sewell and O. V. Komogortsev, Real Time Eye Gaze Tracking With an Unmodified Commodity Webcam Employing a Neural Network. In Proceedings of ACM Conference on Human Factors in Computing Systems (CHI), Atlanta, GA, 2010, pp. 1-6. [.pdf].

Software:

[link]

 
Official Texas State University - San Marcos Disclaimer