Deep Learning–Based Eye Rubbing Detection Using Wrist-Based Wearable Devices to Enable Rigorous Study of Risk Factors for Ectasia Progression
The proposed system provides high reliability in detecting eye rubbing behaviors, indicating its potential as a tool to support ophthalmologists and researchers in the rigorous study of the contributions of eye rubbing to the development and progression of keratoconus and other corneal ectasias.
Authors
- Nambi Nallasamy (ORCID: https://orcid.org/0000-0001-7501-7198)
- Joshua Ong
- Jefferson Lustre (ORCID: https://orcid.org/0009-0001-6967-7226)
- Binh Duong Giap
Institutions
- University of Michigan (US)
- Aravind Eye Hospital (IN)
Publication Details
- Journal
- Cornea
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1097/ico.0000000000004113
- Primary Topic
- Traumatic Ocular and Foreign Body Injuries
- Type
- article
- Field-Weighted Citation Impact
- 0.00