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arXiv · 2502.03057

High-frequency near-eye ground truth for event-based eye tracking

Andrea Simpsi·Andrea Aspesi·Simone Mentasti·Luca Merigo·Tommaso Ongarello·Matteo Matteucci
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Abstract

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.

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Andrea Simpsi, Andrea Aspesi, Simone Mentasti, Luca Merigo, Tommaso Ongarello, Matteo Matteucci. 2025-02-05. High-frequency near-eye ground truth for event-based eye tracking. https://arxiv.org/abs/2502.03057

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