Low Cost Eye-Tracking Data Analytic System for Vision Therapy

A significant percentage of children around the world are affected by vision problems, such as lazy eye, that cannot be fixed by eyeglasses. When left untreated, vision problems may lead to learning difficulties. Vision therapy offers treatment to many of these problems where eye-trackers are tools used to diagnose and measure the progress of patients undergoing vision therapy for these vision problems. However, vision therapy remains out of reach for many patients due to the cost of eye-tracking services. The proposed research seeks to take advantage of recent advantages in computer vision and machine learning that led the way for low-cost eye-trackers. In this project, we will investigate the feasibility of using low-cost eye-trackers for measuring oculomotor problems helped by vision therapy. The performance of these low-cost eye-trackers will be bench marked against scientific grade eye-trackers that are traditionally used for vision therapy.

Faculty Supervisor:

Balakumar Balasingam;Arunita Jaekel;Francesco Biondi

Student:

Partner:

Pediatric and Family Eye Care

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

University of Windsor

Program: