Status:
COMPLETED
Development and Validation of Deep Neural Networks for Blinking Identification and Classification
Lead Sponsor:
Democritus University of Thrace
Collaborating Sponsors:
University of Thessaly
Conditions:
Blinking
Deep Learning
Eligibility:
All Genders
18-75 years
Brief Summary
Primary objective of this study is the development and validation of a system of deep neural networks which automatically detects and classifies blinks as "complete" or "incomplete" in image sequences...
Detailed Description
This method is based on iris and sclera segmentation in both eyes from the acquired images, using state of the art deep learning encoder-decoder neural architectures (DLED). The sequence of the segmen...
Eligibility Criteria
Inclusion
- Inclusion Criteria
- Uncorrected Distance Visual Acuity above 6/12
- Exclusion Criteria:
- corneal opacities
- age-related macular degeneration
- diagnosis of psychiatric diseases
- former eyelid surgery
Exclusion
Key Trial Info
Start Date :
October 1 2020
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
March 25 2021
Estimated Enrollment :
8 Patients enrolled
Trial Details
Trial ID
NCT04828187
Start Date
October 1 2020
End Date
March 25 2021
Last Update
January 4 2023
Active Locations (2)
Enter a location and click search to find clinical trials sorted by distance.
1
Department of Ophthalmology, University Hospital of Alexandroupolis
Alexandroupoli, Evros, Greece, 68100
2
Department of Computer Science and Biomedical Informatics, University of Thessaly
Lamia, Thessaly, Greece, 35100