摘要
随着经济的快速发展,世界汽车保有量逐年持续增长,越来越多的交通事故和死亡人数也随之而来。其中,驾驶员因疲劳驾驶而导致交通事故发生的比例逐年上升,已经成为交通事故发生的主要诱因之一。通常,人在疲劳时会不自主地打哈欠。许多研究者针对人在疲劳状态下的这一行为特征进行研究,试图通过检测和识别驾驶员打哈欠这一行为实时监测驾驶员的精神状态,并适时给予驾驶员提醒,预防驾驶员因疲劳驾驶而导致交通事故的发生。
With the rapid development of the economy, the number of cars in the world keeps increasing year by year, and what accompanying with that is the more traffic accidents and deaths. Among those traffic accidents, the ratio of which caused by the drivers who keeps driving while tired remains rising with each passing year, and fatigue driving has become one of the main causes of traffic accidents. Generally, peo- ple will yawn when they are tired. Many researchers devote themselves in studying these specific behavioral characteristics for people under the fatigue status, attempting to detect and identify the drivers yawn to monitor their mental state in real time and remind them in time to prevent them from fatigue driving and incurring traffic accidents.
作者
郑伟超
袁平
殷锋
ZHENG Wei-chao, YUAN Ping, YIN Feng(College of Computer Science, Sichuan University, Chengdu 61006)
出处
《现代计算机》
2018年第5期79-82,共4页
Modern Computer
基金
NNSFC&CAAC U1533203
the key Technology R&D program of Sichuan Province(No.2016GZ0068
Science&Technology Department of Sichuan Province
China)
the Collaborative Innovation of Industrial Cluster Project of Chengdu(No.2016-XT00-00015-GX)
Civil Aviation Airport United Laboratory of Second Research Institute
CAAC&&Sichuan University of Chengdu(No.2015-YF04-00050-JH)
关键词
交通事故
疲劳驾驶
哈欠检测
Traffic Accidents
Fatigue Driving
Yawning Detection
