High-frequency near-eye ground truth for event-based eye tracking
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913678810415104 |
|---|---|
| author | Simpsi, Andrea Aspesi, Andrea Mentasti, Simone Merigo, Luca Ongarello, Tommaso Matteucci, Matteo |
| author_facet | Simpsi, Andrea Aspesi, Andrea Mentasti, Simone Merigo, Luca Ongarello, Tommaso Matteucci, Matteo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_03057 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | High-frequency near-eye ground truth for event-based eye tracking Simpsi, Andrea Aspesi, Andrea Mentasti, Simone Merigo, Luca Ongarello, Tommaso Matteucci, Matteo Computer Vision and Pattern Recognition 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. |
| title | High-frequency near-eye ground truth for event-based eye tracking |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2502.03057 |