منابع مشابه
Computer assisted instruction during quarantine and computer vision syndrome
Computer vision syndrome (CVS) is a set of visual, ocular, and musculoskeletal symptoms that result from long-term computer use. These symptoms include eyestrain, dry eyes, burning, pain, redness, blurred vision, etc, which increase with the duration of computer use. Currently, with the closure of schools and universities due to the continued COVID19 pandemic many universities have taken the pr...
متن کاملcomputer vision syndrome
computers are used everywhere from home to work these days, thus the effects on the visual system will be more noticeable every day. problems associated with computer usage are generally known as the computer vision syndrome (cvs).these problems include eye fatigue, irritation ,redness , blurred vision and dry eye. all of these problems have adverse effects on individuals in the long term and r...
متن کاملEye Blink Based Fatigue Detection for Prevention of Computer Vision Syndrome
Living in information society we spend a lot of time in front of visual display units such as computer monitors or TV screens. This has positive as well as negative effects on our lives. Negative effects are mostly health related and one major concern is the increasing number of people affected by the Computer Vision Syndrome (CVS) [1]. Most CVS-related problems can be avoided by suitable preve...
متن کاملComputer Vision Syndrome among Nurses
Eyeand vision-related symptoms are the most frequent health problems among computer users. The aim of this study was to estimate the Magnitude/prevalence and to describe risk factors associated with Computer Vision Syndrome among computer users. A quantitative cross sectional survey approach was used to attain the error free outcomes. Sixty computer users were selected, which comprised of both ...
متن کاملReal-time video-based eye blink analysis for detection of low blink-rate during computer use
This paper presents an approach for real-time remote detection of eyeblink parameters. First, a combination of boosted classifiers and LucasKanade tracking is used to follow the movement of face and eyes. Then, detailed eye movement is described by normal flow. Finally, a discrete finite state machine is used to detect eye-blinks. The proposed approach is evaluated on a series of short video se...
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ژورنال
عنوان ژورنال: Current Eye Research
سال: 2015
ISSN: 0271-3683,1460-2202
DOI: 10.3109/02713683.2015.1031352