The EyeFatigue Tracker: Exploring Visual Health through Wearable Devices and Deep-learning Technology

Principal Investigator:
Dr CHEN Yanxian, Research Assistant Professor, School of Optometry

The EyeFatigue Tracker is a diagnostic tool designed to objectively measure and manage visual fatigue. It features advanced capabilities such as eye movement analysis, blink pattern detection and pupil size monitoring, along with critical flicker fusion technology for precise fatigue assessment. The interface is easy-to-use and tailored for clinical settings. 

The EyeFatigue Tracker has several advantages over traditional methods. It delivers objective data for accurate diagnosis and supports pre- and post- treatment comparisons to effectively monitor progress, enhancing diagnostic accuracy. It also enables personalised treatment approaches, saving time and improving patient outcomes. Additionally, its portable design allows for versatile use in hospitals, clinics and research labs. 

By integrating objective metrics and streamlining clinical workflows, the EyeFatigue Tracker revolutionises visual fatigue assessment and ultimately enhances patient care. Its introduction paves the way for wider adoption of standardised fatigue measurement tools in healthcare, promising a more effective approach to fatigue management.