IRYS

Using eye tracking technology to combat ADHD

The app combines a simple webcam with eye tracking software that is intuitive and simple to use. The software detects any patterns and identifies distracted eye movements or zoning off while you are working and returns the results in easy to read format. The app will be free and accessible to anyone.

Multiple studies have shown that eye motion is correlated to ADHD. In this particular study, scientists found that the average eye movements and blinks were higher in the group with ADHD. Using eye tracking technology, we hope to identify symptoms of ADHD and help people get proper care.

Combining ADHD research with technology allows for doctors to catch signs of ADHD early and provide more accurate diagnoses. Patients can also download the app and help streamline the medication process. This helps the healthcare industry and addresses income inequality by decreasing hospital visits for ADHD.

Technology

The underlying technology for this project used machine learning with OpenCV and Python to track eye movements and determine states of distractedness. The UI and webapp are both built on NextJS, a ReactJS framework with TypeScript integration. Behind the scenes the app communicates with CockroachDB to collect and store user data to be used for overall correlation. The entire app also communicates via Node APIs.

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