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

• URL: http://arxiv.org/abs/2502.03057v1
• Date: Wed, 05 Feb 2025 10:35:15 GMT
• Title: High-frequency near-eye ground truth for event-based eye tracking
• Authors: Andrea Simpsi, Andrea Aspesi, Simone Mentasti, Luca Merigo, Tommaso Ongarello, Matteo Matteucci,
• Abstract summary: Event-based eye tracking is a promising solution for efficient and low-power eye tracking in smart eyewear technologies. We introduce a semi-automatic annotation pipeline specifically designed for event-based data annotation.
• Score: 3.5997913466753366
• License:
• 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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