IJSEA Archive (Volume 7, Issue 2)
International Journal of Science and Engineering Applications (IJSEA) (Volume 7, Issue 2 February 2018)
An Eye Blink and Head Movement Detection for Computer Vision Syndrome
Vinaya Kulkarni, Chetana Thombre, Nehanaaz Shaikh , Tejashri Tarade , Tejaswini Patne
Keywords: OpenCV, Computer Vision Syndrome, Haar Cascade.
The usage of computers in our day-to-day activities has increased enormously leading to both positive and negative effects in our lives. The negative effects are related to health problems such as Computer Vision Syndrome (CVS) etc. Prolonged use of computers would lead to a significant reduction of spontaneous eye blink rate due to the high visual demand of the screen and concentration on the work. The proposed system develops a prototype using blink as a solution to prevent CVS. The first part of the work captures video frames using web camera mounted on the computer or laptop. These frames are processed dynamically by cropping only the eyes, which determines the eye-status based on the threshold value and the proposed idea. Various experiments are done and their algorithms are compared and concluded that the proposed algorithm yields 99.95% accuracy.
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title = " An Eye Blink and Head Movement Detection for Computer Vision Syndrome ",
journal = "International Journal of Science and Engineering Applications (IJSEA)",
volume = "7",
number = "2",
pages = "020 - 022",
year = "2018",
author = " Vinaya Kulkarni, Chetana Thombre, Nehanaaz Shaikh , Tejashri Tarade , Tejaswini Patne ",