Proposal of Eyelids Detection Method using Eyelid Movement Information Obtained from Blinking

Abstract

Analyzing behaviors of human eyes can be expected to be applied widely. For example, measuring number of blinks can be applied to sound the alarm for driver's sleepiness. And, eye gaze estimation can be applied to improve advertising effects and to be used for man-machine interface. In order to analyze behaviors of human eyes, detection of eye region in moving image are needed before analyzing. So this paper proposes upper and lower eyelids detection method using eye movement information of blinks and edge information of eyelids. First, this paper explains related researches and processes of proposed method. And then, this paper describes experiment and experimental result to verify the reliability or the effectiveness of proposed method. In addition, this paper describes experiments to verify the effectiveness of glasses and face scale. Finally, this paper mentions features of proposed method and conclusion based on experimental results.