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作 者:谭桂玲 邓三鹏[2] Tan Guiling;Deng Sanpeng(Tianjin Modern Vocational Technology College,Tianjin 300350;Institute of Robotics and Intelligent Equipment,Tianjin University of Technology and Education,Tianjin 300222)
机构地区:[1]天津现代职业技术学院,天津300350 [2]天津职业技术师范大学机器人及智能装备研究所,天津300222
出 处:《南方农机》2020年第13期10-11,共2页
基 金:国家自然科学青年基金项目“基于D-S证据理论与粗糙集的汽车驾驶员疲劳监测方法研究”(61301040)。
摘 要:随着车辆的日益增多,疲劳驾驶引发的交通事故越来越多.研究如何能够在此类事故发生前起到警醒的系统尤为重要.本设计利用多源信息融合的方法对驾驶员进行实时监测,实现疲劳预警.系统主要包括信息采集模块、信息处理模块、报警模块,通过对驾驶人员生理信号的采集、处理,然后利用D-S证据理论对驾驶员进行疲劳决策融合,判断疲劳状态,进而采取听觉和视觉的刺激,进行疲劳预警.研究证明,该系统可以有效对疲劳驾驶员进行监测并起到预警作用.With the development of technology and the increase of vehicles,the traffic accidents caused by fatigue driving become more and more.It is particularly important to study how systems can act as a wake-up call before such an accident occurs.This design uses the method of multi-source information fusion to carry on the real-time monitoring to the driver,realizes the fatigue early warning.The system mainly includes information acquisition module,information processing module,alarm module,mainly through the driver's physiological signal acquisition,processing,and then the use of D-S evidence theory for driver fatigue decision fusion,judge Fatigue State,and then take auditory and visual stimulation,fatigue early warning.The research proved that the system can effectively monitor the fatigue driver and play an early warning role.
分 类 号:TP368.1[自动化与计算机技术—计算机系统结构]
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