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疲劳判断系统的探索与实现
引用本文:姚凯,吕燚,周明全.疲劳判断系统的探索与实现[J].北京师范大学学报(自然科学版),2007,43(5):514-517.
作者姓名:姚凯  吕燚  周明全
作者单位:北京师范大学信息科学与技术学院,100875,北京;北京师范大学信息科学与技术学院,100875,北京;北京师范大学信息科学与技术学院,100875,北京
摘    要:对常用识别技术进行了综合和改进,最后达到了准确度高,受背景影响小的效果.所引入的疲劳判断系统采用PERCLOS方法来判断人是否处于疲劳状态,即通过摄像头读入人脸图像,然后对图像进行分析,以实现对人脸的识别,眼睛状态的判断.通过统计一段时间内的开闭比例来达到判断人是否疲劳的目的.

关 键 词:人脸识别  疲劳判断  图像识别
修稿时间:2007-03-28

EXPLORATION AND REALIZATION OF THE FATIGUE EVALUATING SYSTEM
Yao Kai,Lü Yi,Zhou Mingquan.EXPLORATION AND REALIZATION OF THE FATIGUE EVALUATING SYSTEM[J].Journal of Beijing Normal University(Natural Science),2007,43(5):514-517.
Authors:Yao Kai  Lü Yi  Zhou Mingquan
Institution:College of Information Science and Technology, Beijing Normal University, 100875, Beijing, China
Abstract:Face recognition technology is a very popular topic recently,a new fatigue judging system for face recognition and dynamic track is introduced.As for the face recognition,in order to be more precise and avoid being interfered by the background,we employ a new method which has synthesized and improved the old ones is enployed.To do effective detection of fatigue,the PERCLOS method is adopted,which extracts the facial images by cameras,track and analyze the state of eyes and pick-up characteristic parameter of eyes,count closing time of eyes in succession within regular hour,judge the tired degree.
Keywords:face recognition  fatigue evaluation  image identify
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