3DeepVOG: An Open-Source Framework for Real-Time, Accurate 3D Gaze Tracking with Deep Learning
3DeepVOG enables accurate, quantitative eye movement tracking across three dimensions under diverse conditions. As an open-source framework, it provides an accessible and scalable tool for advancing research and clinical assessment in neurological oculomotor disorders.
Authors
- Ken Möhwald (ORCID: https://orcid.org/0000-0003-3112-2134)
- Andreas Zwergal (ORCID: https://orcid.org/0000-0002-3839-8398)
- Jingkang Zhao
- Virginia Lee Flanagin
- M Wühr (ORCID: https://orcid.org/0000-0001-5115-3777)
- Julian Decker
- Seyed-Ahmad Ahmadi
- Peter zu Eulenburg
Institutions
- German Center for Lung Research (DE)
- Schön Klinik Bad Aibling (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Digital Biomarkers
- Published
- 2025-12-22
- DOI
- https://doi.org/10.1159/000549948
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Bundesministerium für Bildung und Forschung
- Bundesministerium für Wirtschaft und Technologie