High-Frequency Near-Eye Ground Truth for Event-Based Eye Tracking
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 $200\,\textrm{Hz}$ 200 Hz .
Cite
Text
Simpsi et al. "High-Frequency Near-Eye Ground Truth for Event-Based Eye Tracking." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91989-3_19Markdown
[Simpsi et al. "High-Frequency Near-Eye Ground Truth for Event-Based Eye Tracking." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/simpsi2024eccvw-highfrequency/) doi:10.1007/978-3-031-91989-3_19BibTeX
@inproceedings{simpsi2024eccvw-highfrequency,
title = {{High-Frequency Near-Eye Ground Truth for Event-Based Eye Tracking}},
author = {Simpsi, Andrea and Aspesi, Andrea and Mentasti, Simone and Merigo, Luca and Ongarello, Tommaso and Matteucci, Matteo},
booktitle = {European Conference on Computer Vision Workshops},
year = {2024},
pages = {295-304},
doi = {10.1007/978-3-031-91989-3_19},
url = {https://mlanthology.org/eccvw/2024/simpsi2024eccvw-highfrequency/}
}