Paper Info
Title
Automatic Visual Impairment Detection System For Age-Related Eye Diseases Through Gaze Analysis
Abstract
Visual impairment associated with Age-related Macular Degeneration (AMD) often results in a central scotoma which is an alteration in the central vision, leading to distortion or loss of vision. Current methods for assessing visual performance such as Amsler grid and Microperimetry are typically manual and have limitations as an indicator of visual field. In this paper, we present an automated system for detecting visual impairment through gaze tracking (AVIGA). Two types of assessments namely, Impulse Stimuli Response (ISR) test and Pursuit Stimuli Response (PSR) test were implemented in AVIGA system. A Support Vector Regression (SVR)-based approach is applied on the assessment results to differentiate the severity of visual impairment. The results show that AVIGA system is well-correlated to visual acuity test (VA) and performs better in identifying presence of visual impairments in eyes, compared to Microperimetry.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8037352
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Visual impairment,Computer vision,Amsler grid,Visual acuity,Gaze,Psychology,Macular degeneration,Artificial intelligence,Central scotoma,Visual field,Microperimetry
Conference
2017
ISSN
Citations 
PageRank 
1094-687X
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Ai Ping Yow102.70
Damon Wing Kee Wong243437.78
Huiying Liu313010.81
Hongyuan Zhu400.34
Ivy Jing-Wen Ong500.34
Augustinus Laude622111.99
Tock Han Lim701.01