Eye-Rubbing Detection Using a Smartwatch: A Feasibility Study Demonstrated High Accuracy With Machine Learning
This experiment is a proof-of-concept that eye-rubbing detection is effectively detectable and distinguishable from other similar hand gestures, solely through a wrist-worn device and could lead to further studies and patient education in keratoconus management.
Authors
- Sina Elahi (ORCID: https://orcid.org/0000-0002-5327-1707)
- Christophe Panthier (ORCID: https://orcid.org/0000-0001-8205-0252)
- Alexandre Alahi (ORCID: https://orcid.org/0000-0002-5004-1498)
- Alain Saad (ORCID: https://orcid.org/0000-0001-9855-8333)
- Tom Mery
- Damien Gatinel
Institutions
- Fondation Ophtalmologique Adolphe de Rothschild (FR)
- Université Internationale Abulcasis des Sciences de la Santé
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1167/tvst.13.9.1
- Citations
- 3
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 1.12