飞行员疲劳监测中的人眼定位及状态判别研究  

Research on Human Eye Location and Condition Recognition in Pilot Fatigue Monitoring

作　　者：王剑楠[1] 潘文平[1] 李英浩[1] 

机构地区：[1]南京航空航天大学民航学院,江苏南京210016

出　　处：《航空计算技术》2016年第4期78-82,共5页Aeronautical Computing Technique

基　　金：中央高校基本科研业务费专项资金资助(NS2015071);南京航空航天大学研究生创新基地(实验室)开放基金项目资助(kfjj20150709)

摘　　要：飞行员驾驶疲劳是影响飞行安全的重要因素之一。常用基于人眼识别的方法对飞行员进行疲劳监测,其关键是人眼定位及状态判别。利用改进的平均合成滤波器算法定位人眼,根据模糊综合评价思想,判定人眼睁开闭合状态,根据PERCLOS疲劳检测方法对飞行员进行疲劳监测。实验表明,改进的人眼定位方法具有更高的精确度和鲁棒性,提出的人眼状态判定方法能够满足疲劳监测需要。为最终构建一种机载的、实时的、非接触式的飞行员疲劳监测系统提供了理论基础。Pilot fatigue is one of the important factors that affect flight safety. We usually monitor pilot fatigue by eyes. The key is how to locate eyes and recognize the state of eyes. In this paper,we firstly use the improved average synthetic exact filter algorithm to locate the eyes. Then,we judge whether the eyes are open or closed according to fuzzy comprehensive evaluation method. Finally,we monitor the pilot＇s fatigue state by PERCLOS fatigue detection method. The experiments show that the improved eye location algorithm is with higher accuracy and robustness,and the judgement method of eye state can satisfiy the requirement of fatigue monitoring. The theoretical basis is provided for the final construction of an airborne,real-time,non-contact pilot fatigue monitoring system.

关 键 词：疲劳驾驶 人眼定位 平均合成滤波器 模糊综合评价 

分 类 号：V328[航空宇航科学与技术—人机与环境工程]