Multi-Interactive-Modality based Modeling for Myopia Pro-Gression of Adolescent Student
June 09, 2023 Β· Declared Dead Β· π 2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN)
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Authors
Xiangyu Yan, Gongen Han, Can Fang, Xuan Jing
arXiv ID
2306.07289
Category
cs.HC: Human-Computer Interaction
Citations
0
Venue
2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN)
Last Checked
5 months ago
Abstract
Myopia is a common visual disorder that affects millions of people worldwide and its prevalence has been increasing in recent years. Environmental factors, such as reading time, viewing distance, and ambient lighting, have been identified as potential factors in the development of myopia. In this study, we investigated the relationship between three major factors and myopia in 120 adolescents. By collecting environmental images of the adolescents in the learning state as well as retinal fundus images, we proposed an environmental visual load (EVL) model to extract the potential information in these images. Through experimental data analysis, we found that these three major factors are closely related to the severity of myopia, and that the simultaneous exacerbation of these factors sharply increases the myopia of the eye. Our results suggest that interventions targeting these environmental factors may help prevent and manage myopia.
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