Event-Based Eye Tracking. AIS 2024 Challenge Survey
It addresses efficient eye tracking for applications using event cameras, but is incremental as it surveys existing challenge submissions.
This survey reviews the AIS 2024 Event-Based Eye Tracking Challenge, which tackled the problem of predicting pupil center from eye movement data recorded with event cameras, resulting in 38 participants registering and 8 teams submitting methods for analysis.
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of the challenge focuses on processing eye movement recorded with event cameras and predicting the pupil center of the eye. The challenge emphasizes efficient eye tracking with event cameras to achieve good task accuracy and efficiency trade-off. During the challenge period, 38 participants registered for the Kaggle competition, and 8 teams submitted a challenge factsheet. The novel and diverse methods from the submitted factsheets are reviewed and analyzed in this survey to advance future event-based eye tracking research.