A remote and real-time fatigue measurement solution based on eye tracking technique

Abstract

Measuring fatigue is a key step of managing human fatigue risk because it provides objective data for fatigue prevention. This paper aims to develop a remote and real-time fatigue measurement solution based on eye tracking and computer vision technique. Firstly the framework and process of this solution was given. Then experiments of selecting fatigue measurement index was carried on and the results indicated that PERCLOS (Percentage of Eyelid Closure Over the Pupil Time) value is a reliable index for measuring fatigue and the threshold is suggested to be set as 0.5 when eye close threshold is set as 70%. Meanwhile a functional Fatigue Measurement Prototype System for air traffic controller was developed as an application case. Finally it concluded that this fatigue measurement solution is feasible and reliable, a more applicable Fatigue Measurement System basing on this solution is expected to be developed and applied in next step. © 2013 Asian Network for Scientific Information.