An eye-tracking algorithm for nystagmus detection in videonystagmography based on convolutional neural networks

Yerin Lee; Sena Lee; Junghun Han; Hyeong Jun Wang; Young Joon Seo; Sejung Yang

doi:10.1117/12.2648640

14 March 2023 An eye-tracking algorithm for nystagmus detection in videonystagmography based on convolutional neural networks

Yerin Lee, Sena Lee, Junghun Han, Hyeong Jun Wang, Young Joon Seo, Sejung Yang

Author Affiliations +

Proceedings Volume 12360, Ophthalmic Technologies XXXIII; 123600V (2023) https://doi.org/10.1117/12.2648640
Event: SPIE BiOS, 2023, San Francisco, California, United States

Conference Poster

Abstract

Nystagmus is a periodic, involuntary movement of eyes examined for diagnosis of various vestibular diseases such as benign paroxysmal positional vertigo, the most frequent vestibular disorder. In recent years, videonystagmography has been widely used in the examination of nystagmus due to its non-invasive feature. However, identifying and classifying nystagmus still requires professional knowledge and training. To this end, a pupil tracking algorithm was proposed in this paper using convolutional neural networks. U-Net was selected for pupil segmentation, and we constructed the ground truth of a new dataset for the training procedure. An additional tracking algorithm was designed to prevent false outputs of the U-Net model. Results show that the proposed pupil tracking algorithm scored higher performance than conventional methods.

Citation Download Citation

Yerin Lee, Sena Lee, Junghun Han, Hyeong Jun Wang, Young Joon Seo, and Sejung Yang "An eye-tracking algorithm for nystagmus detection in videonystagmography based on convolutional neural networks", Proc. SPIE 12360, Ophthalmic Technologies XXXIII, 123600V (14 March 2023); https://doi.org/10.1117/12.2648640

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available