Development of an Algorithm for Detecting Saccadic Eye Movements Based on Model Approximation
We present an algorithm for detecting saccadic (fast) eye movements from electrooculogram data based on approximation using a parametric saccade model. The algorithm is based on a sliding window approximation on two coordinates using a parametric saccade model.
Authors
- Vladimir Antipov (ORCID: https://orcid.org/0009-0003-9612-0305)
- Artem Badarin (ORCID: https://orcid.org/0000-0002-3212-5890)
Institutions
- Immanuel Kant Baltic Federal University (RU)
Publication Details
- Journal
- Bulletin of the Russian Academy of Sciences Physics
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1134/s1062873824710341
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00