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In this paper we present Pupil -- an accessible, affordable, and extensible open source platform for pervasive eye tracking and gaze-based interaction. Pupil comprises 1) a light-weight eye tracking headset, 2) an open source software framework for mobile eye tracking, as well as 3) a graphical user interface to playback and visualize video and gaze data. Pupil features high-resolution scene and eye cameras for monocular and binocular gaze estimation. The software and GUI are platform-independent and include state-of-the-art algorithms for real-time pupil detection and tracking, calibration, and accurate gaze estimation. Results of a performance evaluation show that Pupil can provide an average gaze estimation accuracy of 0.6 degree of visual angle (0.08 degree precision) with a processing pipeline latency of only 0.045 seconds.
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Moritz Kassner
Puer University
William Patera
Andreas Bulling
University of Stuttgart
Max Planck Institute for Informatics
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Kassner et al. (Sat,) studied this question.
synapsesocial.com/papers/6a19a2e5e7f8932c5eea7e8d — DOI: https://doi.org/10.1145/2638728.2641695