A Smart Glasses System for Quantitative Monitoring of Visual Behavior and Myopia-Related Environmental Factors

The shift in modern lifestyles, particularly the increased use of electronic devices, has exacerbated visual behavior patterns, leading to a rise in myopia and dry eye syndrome. However, quantitative tools to measure specific contributing factors and assess their impact remain insufficient. This study presents a novel wearable system for continuous monitoring of visual habits. By integrating image recognition and multimodal sensor data, the system accurately analyzes object distances and identifies myopia-related activities, such as reading, computer use, mobile phone use, and outdoor activities, with a 96.87% accuracy rate. The system supports continuous recording and analysis for up to 9 hours with a 10-second sampling interval, enabling the collection of crucial quantitative data on eye-use-related environmental factors, thus surpassing the limitations of subjective questionnaire-based assessments.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-21
DOI
https://doi.org/10.1109/jsen.2025.3561154
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Smart Glasses System for Quantitative Monitoring of Visual Behavior and Myopia-Related Environmental Factors

Wensi Wang, M. Zheng, Yanping Ji, Boyan Zhao
IEEE Sensors Journal
Visual perception and processing mechanisms
article

A Smart Glasses System for Quantitative Monitoring of Visual Behavior and Myopia-Related Environmental Factors

Wensi Wang, M. Zheng, Yanping Ji, Boyan Zhao
article en

Abstract

The shift in modern lifestyles, particularly the increased use of electronic devices, has exacerbated visual behavior patterns, leading to a rise in myopia and dry eye syndrome. However, quantitative tools to measure specific contributing factors and assess their impact remain insufficient. This study presents a novel wearable system for continuous monitoring of visual habits. By integrating image recognition and multimodal sensor data, the system accurately analyzes object distances and identifies myopia-related activities, such as reading, computer use, mobile phone use, and outdoor activities, with a 96.87% accuracy rate. The system supports continuous recording and analysis for up to 9 hours with a 10-second sampling interval, enabling the collection of crucial quantitative data on eye-use-related environmental factors, thus surpassing the limitations of subjective questionnaire-based assessments.

IEEE Sensors JournalVol. 25(11)
China University of Political Science and Law (CN), Beijing University of Technology (CN)
Beijing Nova Program
Climate action
Openalex Percentile: Top 92%
Visual perception and processing mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Smart Glasses System for Quantitative Monitoring of Visual Behavior and Myopia-Related Environmental Factors — Wensi Wang, M. Zheng, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS