Intelligent Standalone Eye Blinking Monitoring System for Computer Users.

IF 1.3 4区 心理学 Q3 OPHTHALMOLOGY
Journal of Eye Movement Research Pub Date : 2024-12-06 eCollection Date: 2024-01-01 DOI:10.16910/jemr.17.5.1
Ahmad A Jiman, Amjad J Abdullateef, Alaa M Almelawi, Khan M Yunus, Yasser M Kadah, Ahmad F Turki, Mohammed J Abdulaal, Nebras M Sobahi, Eyad T Attar, Ahmad H Milyani
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Abstract

Purpose: Working on computers for long hours has become a regular task for millions of people around the world. This has led to the increase of eye and vision issues related to prolonged computer use, known as computer vision syndrome (CVS). A main contributor to CVS caused by dry eyes is the reduction of blinking rates. In this pilot study, an intelligent, standalone eye blinking monitoring system to promote healthier blinking behaviors for computer users was developed using components that are affordable and easily available in the market. Methods: The developed eye blinking monitoring system used a camera to track blinking rates and operated audible, visual and tactile alarm modes to induce blinks. The hypothesis in this study is that the developed eye blinking monitoring system would increase eye blinks for a computer user. To test this hypothesis, the developed system was evaluated on 20 subjects. Results: The eye blinking monitoring system detected blinks with high accuracy (95.9%). The observed spontaneous eye blinking rate was 43.1 ± 14.7 blinks/min (mean ± standard deviation). Eye blinking rates significantly decreased when the subjects were watching movie trailers (25.2 ± 11.9 blinks/min; Wilcoxon signed rank test; p<0.001) and reading articles (24.2 ± 12.1 blinks/min; p<0.001) on a computer. The blinking monitoring system with the alarm function turned on showed an increase in blinking rates (28.2 ± 12.1 blinks/min) compared to blinking rates without the alarm function (25.2 ± 11.9 blinks/min; p=0.09; Cohen's effect size d=0.25) when the subjects were watching movie trailers. Conclusions: The developed blinking monitoring system was able to detect blinking with high accuracy and induce blinking with a personalized alarm function. Further work is needed to refine the study design and evaluate the clinical impact of the system. This work is an advancement towards the development of a profound technological solution for preventing CVS.

面向计算机用户的智能独立眨眼监测系统。
用途:长时间在电脑前工作已成为世界各地数百万人的常规任务。这导致了与长时间使用电脑有关的眼睛和视力问题的增加,被称为计算机视觉综合症(CVS)。眼睛干涩导致CVS的一个主要原因是眨眼频率的降低。在这项试点研究中,我们开发了一个智能的、独立的眨眼监测系统,以促进计算机用户更健康的眨眼行为,该系统使用的组件价格合理且易于在市场上获得。方法:研制的眨眼监测系统采用摄像机跟踪眨眼频率,并操作听、视、触觉报警模式诱导眨眼。本研究的假设是,发达的眨眼监测系统会增加电脑用户的眨眼次数。为了验证这一假设,开发的系统对20名受试者进行了评估。结果:眨眼监测系统对眨眼的检测准确率较高,达到95.9%。自发眨眼率为43.1±14.7次/min(平均值±标准差)。当受试者观看电影预告片时,眨眼率显著降低(25.2±11.9次/分);Wilcoxon符号秩检验;结论:所开发的眨眼监测系统能够高精度地检测眨眼,并具有个性化报警功能。需要进一步的工作来完善研究设计和评估该系统的临床影响。这项工作是一个进步,朝着开发一个深刻的技术解决方案,以防止CVS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.90
自引率
33.30%
发文量
10
审稿时长
10 weeks
期刊介绍: The Journal of Eye Movement Research is an open-access, peer-reviewed scientific periodical devoted to all aspects of oculomotor functioning including methodology of eye recording, neurophysiological and cognitive models, attention, reading, as well as applications in neurology, ergonomy, media research and other areas,
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