Intelligent Standalone Eye Blinking Monitoring System for Computer Users

Area of Science:

• Ophthalmology
• Human-Computer Interaction
• Biomedical Engineering

Background:

• Prolonged computer use leads to computer vision syndrome (CVS), characterized by eye and vision issues.
• Reduced blinking rates during computer tasks exacerbate dry eye symptoms, a key factor in CVS.
• Affordable, market-available components were utilized to develop a novel solution.

Purpose of the Study:

• To develop and evaluate an intelligent, standalone eye blinking monitoring system.
• To promote healthier blinking behaviors among computer users.
• To test the hypothesis that the system increases eye blink rates.

Main Methods:

• A camera-based system was developed to track eye blink rates.
• Audible, visual, and tactile alarm modes were integrated to prompt blinks.
• The system's efficacy was evaluated on 20 subjects performing computer tasks.

Main Results:

• The system achieved high blink detection accuracy (95.9%).
• Spontaneous blinking rate was 43.1 ± 14.7 blinks/min.
• Blinking rates significantly decreased during movie watching (25.2 blinks/min) and reading (24.2 blinks/min).
• The alarm function increased blinking rates by 11.9% during movie watching (p=0.09).

Conclusions:

• The developed system accurately detects blinks and can induce blinking via personalized alarms.
• This technology represents a step towards preventing computer vision syndrome.
• Further research is needed to refine the system and assess its clinical impact.