Development of Visual Function Training Technologies through a Learning Model System Based on Iris and Pupil Recognition

Development of Visual Function Training Technologies through a Learning Model System Based on Iris and Pupil Recognition
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© 2022 by IJETT Journal
Volume-70 Issue-8
Year of Publication : 2022
Authors : Dong-Kyun Kim, Hyun-Been Kim, Jei-Pil Wang
DOI : 10.14445/22315381/IJETT-V70I8P248

How to Cite?

Dong-Kyun Kim, Hyun-Been Kim, Jei-Pil Wang, "Development of Visual Function Training Technologies through a Learning Model System Based on Iris and Pupil Recognition," International Journal of Engineering Trends and Technology, vol. 70, no. 8, pp. 475-480, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I8P248

Abstract
There is growing attention on the visual function to maintain a healthy life in an aging society. However, the prevalence of eye diseases that may lead to the deterioration of visual function and acuity continues to increase.1) To cope with eye diseases with refractive errors that lead to rapidly increasing visual dysfunction, it is required to develop a visual function training system for customized prevention and diagnosis of refractive eye disease, customized visual function treatment, and the analysis and management of treatment effects. To that effect, this study was intended to improve the visual functions by tracking the user's iris and pupil using AI technology, analyzing and diagnosing the state of eye disease using the acquired information in VR visual training. The scope of the design to be developed includes the deep learning design for software configuration for tracking the iris and pupil to diagnose visual impairments; the definition of configuration functions of the deep learning design for the application of AI; test results; the design of architecture to analyze the actual state of eye disease; and the development of a function for diagnosis.

Keywords
Visual Function, Pupil Size, Learning Model System, Eefficiency, Iris.

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