Detecting Computer Vision Syndrome Using Eye Blink - An Experimental Evaluation

Qurban A. Memon, Mohammad Y. Hassan

Research output: Contribution to journalConference articlepeer-review


Nowadays, people spend more time using computers, laptops, and smartphones, etc., that causes decrease in eye blink frequency. Since eye blink spreads tears on eye cornea to moisture, the reduction in blink rate results in eye redness and dryness. In this work, eye blink detector is reported that is utilized to prevent eye dryness and redness. A number of existing eye blink detection schemes are surveyed and then a solution is proposed based on analysis. The proposed solution is based on histogram back projection. The proposed approach detects opening and closing state of the eyes and then if blinking rate is determined to be less than normal, it raises flag for computer vision syndrome. The approach is tested on different data sets under various lighting conditions and its performance is compared and analyzed.

Original languageEnglish
Article number012029
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - Oct 11 2018
Externally publishedYes
Event2018 2nd International Conference on Computer Graphics and Digital Image Processing, CGDIP 2018 - Bangkok, Thailand
Duration: Jul 27 2018Jul 29 2018

ASJC Scopus subject areas

  • General Physics and Astronomy


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