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Computer vision syndrome (CVS) is a condition resulting from focusing the eyes on a computer or other display device for protracted, uninterrupted periods of time and the eye's muscles being unable to recover from the constant tension required to maintain focus on a close object.
In many cases, frequent computer users develop computer vision syndrome, which is a degenerative eye problem which can result in severely reduced eyesight , blurred vision, overall eye tiredness and even glaucoma. Computer Eye Syndrome is an umbrella term for many problems but the causes of these problems can be easily identified.
Studies have shown that prolonged exposure to computer screens can have negative effects on the eyes, causing symptoms of computer vision syndrome (CVS) that include strained eyes and blurred vision. The occurrence of CVS has grown greatly over the past few years, effecting a large majority of American workers who spend over three hours a day ...
A study done in 2018 showed that young children are experiencing Computer Vision Syndrome, also referred to as Digital Eye Strain symptoms which include blurred or double vision, headaches, eye fatigue, and more. Many kids are having to wear glasses at a younger age due to excessive amount of screentime.
Computer vision syndrome can be prevented by taking regular breaks, focusing on objects far from the screen, having a well-lit workplace, or using a blink reminder application. Studies suggest [ 26 ] that adults can learn to maintain a healthy blinking rate while reading or looking at a computer screen using biofeedback .
The experience of eye strain when reading in dim light has given rise to the common misconception that such an activity causes permanent eye damage. [3] When concentrating on a visually intense task, such as continuously focusing on a book or computer monitor, the ciliary muscles and the extraocular muscles are strained. This causes discomfort ...
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Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.