基于眼睑闭合度的眼动仪检测人体生理疲劳状态(英文)

Physiological fatigue determination based on percentage of eyelid closure with eye tracking system

背景:在进行眼注视行为的同时进行疲劳测试,完成实时的、非接触式的疲劳检测和监测。目的:计算出用于制定疲劳的眼睑闭合度值,推断被试者的疲劳程度。设计:对眼动仪进行改造,将眼动仪瞳孔视频进行采集,利用图像处理方法得到眼睑闭合度值,从而反应被试者当前疲劳状态。单位:北京交通大学机械与电子控制工程学院。材料:于2003-09/2004-11在北京交通大学人机工程实验室完成。仪器和设备:视频传输线、图像采集卡、计算机。方法:通过对眼动仪瞳孔模块输出视频的图像处理,由此推断瞳孔的遮闭状态,计算出用于疲劳判定的眼睑闭合度值。主要观察指标:从图像采集卡中采集的图像反应了被试者瞳孔的开闭状态。结果:搭建了一套疲劳检测系统,可有效地得到被试者的疲劳状态。结论:该方法扩充了眼动仪的功能,可以方便地用于工作状态下的脱机与在线疲劳检测。

BACKGROUND：Fatigue measurement is conducted while the eyes are gazing at something to accomplish the determination and monitoring of a real-time and non-contact fatigue. OBJECTIVE：To figure out the percentage of eyelid closure （PERCLOS） value for fatigue and deduct the subject＇s fatigue state. DESIGN：To detect the subject＇s pupils with a reconstructed eye tracking system ,the video frequency of the pupils is collected, from which the PERCLOS value is worked out by image processing. The PERCLOS value is used to reflect the subject＇s fatigue state. SETTING：School of Mechanical and Electronic Engineering, Beijing Jiaotong University. MATERIALS：The experiment was conducted in the Ergonomics Lab from September 2003 to November 2004. The equipments used were video transmission cable, frame grab card and computer. METHODS：The video frequency images of pupil module sent from eye tracking system were processed to deduct the closure state of the pupil and figure out the PERCLOS value for the determination of fatigue. MAIN OUTCOME MEASURES ：The images collected by image collecting card reflected the state of opening and closure of the pupil. RESULTS：A fatigue determination system which was able to determine effectively the examinee＇s fatigue state was established. CONCLUSION：This new method expands the application of eye tracking system which can be safely used off-line or on-line.