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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





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Keywords: OpenCV, Computer Vision Syndrome, Haar Cascade.

Abstract References BibText


        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.


[1] Sofia Jennifer J, Sree Sharmila T “Edge based Eye Blink detection For Computer Vision Syndrome” April 2017
[2] Takeshi Toda, Masako Nakai, Xinxin Liu, “A Close Face-Distance Warning System For Straightened Neck Prevention” November 2015
[3] Monalisa Pal, Anweesha Banerjee, “Electrooculography Based blink detection to computer Vision Syndrome” November 2014
[4] A. Banerjee, S. Chakraborty, P. Das, S. Datta, A. Konar, D.N .Tibarewala and R. Janarthanan, "Single channel electrooculogram(EOG) based interface for mobility aid" , Fourth International Conference on Intelligent Human Computer Interaction, 2012.
[5] Seongwon Han, Sungwon Yang, Jihyoung Kim and Mario Gerla , “EyeGuardian: A Framework of Eye Tracking and Blink Detection forMobile Device Users”, HotMobile12 February 2829, 2012, San Diego,CA, USA.


@article{Vinaya07021003,
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 ",
}