Real-Time Gaze Tracking with a Consumer-Grade Video Camera

Eye gaze can be a rich source of information to identify particular interests of human users. Eye gaze tracking has been largely used in different research areas in the last years, as for example in psychology, visual system design and to leverage the user interaction with computer systems. In this paper, we present an IR-based gaze tracking framework that can be easily coupled to common user applications and allows for real-time gaze estimation. Compared to other gaze tracking systems, our system uses only affordable consumer-grade hardware and still achieves fair accuracy. To evaluate the usability of our gaze tracking system, we performed a user study with persons of different genders and ethnicities.
Author(s): | Andrea Keil, Georgia Albuquerque, Kai Berger, Marcus Magnor |
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Published: | February 2010 |
Type: | Article in conference proceedings |
Book: | Proc. WSCG (UNION Agency -- Science Press) |
Presented at: | International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG) |
@inproceedings{keil10RTG, title = {Real-Time Gaze Tracking with a Consumer-Grade Video Camera}, author = {Keil, Andrea and Albuquerque, Georgia and Berger, Kai and Magnor, Marcus}, booktitle = {Proc. {WSCG}}, editor = {Vaclav Skala}, month = {Feb}, year = {2010} }
Authors
Andrea Keil
Fmr. StudentGeorgia Albuquerque
Fmr. Senior ResearcherKai Berger
Fmr. Senior ResearcherMarcus Magnor
Director, Chair