Event-Based Eye Tracking. AIS 2024 Challenge Survey

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.

1. Introduction

The fast development of augmented reality (AR) and virtual reality (VR) technologies in industry, has significantly magnified the importance of precise and efficient eye-tracking systems [15], [16]. Furthermore, eye-tracking and related tasks, including gaze detection, pupil shape detection, etc, have tremendous potential in the field of wearable health-care technology, offering novel approaches for diagnosing and monitoring conditions such as Parkinson’s and Alzheimer’s diseases through the analysis of eye movement patterns [14], [25], [31].