An efficient system to identify user attentiveness based on fatigue detection

Abstract

This paper presents a user alertness identification system based on fatigue detection. The user may be a person like computer operator, operating critical operations on distant machines, hands free interaction with computational devices/machines, controlling heavy machineries like cranes or performing time critical operations like air traffic controlling etc. Same system can also be employed to detect and notifying the driver vigilance level and hence to avoid possibility of road accidents. The proposed system uses the time-efficient image processing techniques to measure eyes closer count, blinking rate of eye and user yawning as the parameters to conclude user's fatigue. The proposed system continuously captures the image of the subject on site using web camera and detects face region, then focuses on eyes and lips using efficient image processing techniques to monitor their behavior. If abnormality either in behavior of eyes or mouth is detected, it indicates that the subject is falling asleep or having state of drowsiness therefore fatigue is detected and a warning alarm is generated.