Detecting Computer Vision Syndrome Using Eye Blink - An Experimental Evaluation

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.