Data Collection for Analyzing the Reasons for Dry Eyes

The time between subsequent eye blinks and makes it available for data analysis

Data Collection for Analyzing the Reasons for Dry Eyes

Ever since the pandemic started my eyes have been feeling itchy and dry. I went to the ophthalmologist as my eyesight started getting blurry, to find out how I can rectify this problem.

The doctor said that I needed to tackle this problem as soon as possible or else the damage could be permanent I spend a lot of time at home sitting in front of the computer looking at content very close to my eyes. In the back of the computer I had a big wall that did not allow me to relax my eyes.

After coming to University of Washington I got a part time job as a grader for the course By the name AI and healthcare. Inspired by this course, I decided to pursue in this project.

My initial findings is that depending upon the type of applications that you are using, the duration between eye blinks varies.

I made a machine learning face detector using viola Johns algorithm and an eye detector using a cascade classifier using a pattern matching code. If the classifier finds a face but does not find the eyes, it concludes that the person has closed his or her eyes. Based on this method, I observe the time duration between subsequent eye blinks and store it in a CSV file. This data is further analyzed based on the correlation with the software being used at that point in time.

This is a work in progress and much could be done before this project is completed.

I am expecting to see correlation between the type of application and the font size and the time of the day for eye dryness to occur