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TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets
[article]
2016
arXiv
pre-print
We study gaze estimation on tablets, our key design goal is uncalibrated gaze estimation using the front-facing camera during natural use of tablets, where the posture and method of holding the tablet is not constrained. We collected the first large unconstrained gaze dataset of tablet users, labeled Rice TabletGaze dataset. The dataset consists of 51 subjects, each with 4 different postures and 35 gaze locations. Subjects vary in race, gender and in their need for prescription glasses, all of
arXiv:1508.01244v3
fatcat:7fxvslo2krgalfacncbp4klmam