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Real-Time Blink Detection as an Indicator of Computer Vision Syndrome in Real-Life Settings: An Exploratory Study
Inês Lapa1, Simão Ferreira1, Catarina Mateus1
1Center for Translational Health and Medical Biotechnology Research, School of Health of Polytechnic Institute of Porto, 4200-465 Porto, Portugal.
Summary
Computer vision syndrome (CVS) is rising with digital device use. This study found that reduced blinking rates, monitored via webcam, can reliably predict CVS risk in real-time, aiding early intervention.
Area of Science:
- Ophthalmology
- Human-Computer Interaction
- Digital Health
Background:
- Increased digital device usage correlates with a rise in eye and vision complaints, escalating the prevalence of Computer Vision Syndrome (CVS).
- There is a critical need for non-intrusive, real-time methods to assess CVS risk, particularly in occupational environments.
Purpose of the Study:
- To explore the potential of using webcam-captured blinking data as a reliable, real-time indicator for predicting Computer Vision Syndrome (CVS).
- To investigate the relationship between blinking patterns and CVS severity in a naturalistic setting.
Main Methods:
- An exploratory study involving 13 student participants.
- Development and implementation of software to collect physiological data, specifically blinking patterns, via computer webcams.
- Utilizing the Computer Vision Syndrome Questionnaire (CVS-Q) to assess CVS presence and severity.
Main Results:
- A reduced blinking rate, ranging from 9 to 17 blinks per minute, was observed in participants.
- Each additional blink per minute was associated with a 1.26 decrease in the CVS score.
- The study established a direct correlation between a decreased blinking rate and the presence/severity of CVS.
Conclusions:
- Blinking data captured by webcams can serve as a reliable, real-time indicator for Computer Vision Syndrome.
- These findings pave the way for developing real-time CVS detection algorithms and intervention systems.
- The proposed system aims to enhance user health, well-being, and productivity by providing timely recommendations.
