Forest Finnigan

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2019-73

May 17, 2019

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-73.pdf

Gaze tracking can be a powerful tool to control a computer or robotic limb. There are many gaze tracking technologies, but vision based gaze trackers, which work off of a standard web cam, have the potential to be quickly accessible. This report assumes that noisy estimates of the head position and gaze direction are known, and then presents a method to find a more stable estimate of the user's gaze on a table plane. The method works by combining estimates of each eye's gaze intersection with the viewing plane. The basic combination achieves fair precision but poor accuracy, so the report describes a simple way to improve accuracy while maintaining good aspects of the system. The system achieves an accuracy of 6.9 cm in the X direction and 5.7 cm in the Y direction for a gaze point experiment.

Advisors: Ruzena Bajcsy

---

BibTeX citation:

@mastersthesis{Finnigan:EECS-2019-73,
    Author= {Finnigan, Forest},
    Title= {Gaze Tracking in the Plane},
    School= {EECS Department, University of California, Berkeley},
    Year= {2019},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-73.html},
    Number= {UCB/EECS-2019-73},
    Abstract= {Gaze tracking can be a powerful tool to control a computer or robotic limb.  There are many gaze tracking technologies, but vision based gaze trackers, which work off of a standard web cam, have the potential to be quickly accessible.  This report assumes that noisy estimates of the head position and gaze direction are known, and then presents a method to find a more stable estimate of the user's gaze on a table plane.  The method works by combining estimates of each eye's gaze intersection with the viewing plane.  The basic combination achieves fair precision but poor accuracy, so the report describes a simple way to improve accuracy while maintaining good aspects of the system.  The system achieves an accuracy of 6.9 cm in the X direction and 5.7 cm in the Y direction for a gaze point experiment.},
}

EndNote citation:

%0 Thesis
%A Finnigan, Forest 
%T Gaze Tracking in the Plane
%I EECS Department, University of California, Berkeley
%D 2019
%8 May 17
%@ UCB/EECS-2019-73
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-73.html
%F Finnigan:EECS-2019-73