Tommaso Ongarello

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1paper

1 Paper

CVFeb 5, 2025
High-frequency near-eye ground truth for event-based eye tracking

Andrea Simpsi, Andrea Aspesi, Simone Mentasti et al.

Event-based eye tracking is a promising solution for efficient and low-power eye tracking in smart eyewear technologies. However, the novelty of event-based sensors has resulted in a limited number of available datasets, particularly those with eye-level annotations, crucial for algorithm validation and deep-learning training. This paper addresses this gap by presenting an improved version of a popular event-based eye-tracking dataset. We introduce a semi-automatic annotation pipeline specifically designed for event-based data annotation. Additionally, we provide the scientific community with the computed annotations for pupil detection at 200Hz.