University of Waterloo

Automating Areas of Interest in Eye Tracking Research in Sports

Klaus Aplevich

June 5th, 2026 – 12:00-1:00 pm, EC4-2101A

Previous eye tracking research in sports has relied on hand annotated areas of interest to label data. This bottlenecked the number of participants and trials that could be used for research leading to small sample sizes and expensive experimental set ups. Using RF-DETR and controlled environments, it is possible to automate ball detection with reasonable accuracy speeding up the analysis and increasing the sample size. The presentation will show how I automated data collection and how the automated ball detection helps with analyzing data in baseball and volleyball.