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驾驶分心检测方法综述
引用本文:李坤宸,曹龙.驾驶分心检测方法综述[J].汽车实用技术,2021,46(2):102-104.
作者姓名:李坤宸  曹龙
作者单位:长安大学汽车学院,陕西 西安 710064;长安大学汽车学院,陕西 西安 710064
摘    要:道路交通事故已经成为世界人民非自然死亡的主要原因,有学者认为90%的交通事故与驾驶员自身因素关联,而其中又有超过50%与驾驶分心相关.为了对驾驶员分心进行识别以及为下一步的分心预警干预提供结果判断,文章介绍了常见的驾驶分心检测与识别方法,包括人脸识别方法,眼睛瞳孔位置识别以及基于驾驶员生理信号(EEG)的分心监测方法....

关 键 词:驾驶分心  分心识别  瞳孔位置  EEG

Review of Methods for Detection of Distracted Driving
Authors:Li Kunchen  Cao Long
Institution:(School of Automobile,Chang’an University,Shaanxi Xi’an 710064)
Abstract:Road traffic accidents have become the main cause of people's unnatural death in the world.Some pointed out that 90%of traffic accidents are related to drivers themselves,and more than 50%of them are related to distracted driving.In order to identify the distracted driver and provide the result judgment in the future,This paper introduces the common methods of distracted recognition,including face recognition,pupil recognition and EEG monitoring.The results show that each method has its own advantages.The non-contact detection has little influence on driving,but its accuracy is poor.The use of contact equipment,such as head-mounted instrument,has certain influence on the driver,but the test results are more accurate.
Keywords:Driving distractions  Distracted driving recognition  Pupil position  EEG
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