摘要
为了降低由于驾驶员疲劳驾驶造成的交通事故发生率,设计一种疲劳驾驶检测系统对驾驶员状态进行实时检测和反馈.研究将人体生理以及外部环境检测模块、提示动作模块、人脸疲劳检测模块和信息接收处理模块进行整合,并将PERCLOS疲劳特征检测、FA检测和生理检测三种方法融合在一起,实现了对驾驶员状态的检测.实验表明,多特征融合检测方法检测准确率较好,正常情况能够有效的保障驾驶员的驾驶安全.
To reduce the traffic accidents caused by fatigue driving,a system was designed for real-time detection and feedback of drivers’status.The research integrates human physiology and external environment detection module,prompt action module,face fatigue detection module and information receiving and processing module.Driver status detection is achieved by combining PERCLOS fatigue feature detection,FA detection and physiological detection together.Experiments show that the multi-feature detection method is accurate in detection and can effectively protect drivers under normal conditions.
作者
马嘉健
赵海茹
付坤
丁敏
MA Jiajian;ZHAO Hairu;FU Kun;DING Min(School of Physics and Electronic Engineering,Yuxi Normal University,Yuxi,Yunnan 653100,China)
出处
《玉溪师范学院学报》
2021年第6期43-48,共6页
Journal of Yuxi Normal University
基金
玉溪师范学院大学生创新创业训练计划项目(基于人脸识别的疲劳驾驶检测系统的设计与实现,201811390001)
云南省高校重点实验室建设计划(多AGV路径规划与避障算法的研究).
关键词
疲劳驾驶
多特征
信息融合
单片机
fatigue driving
multi-features
information fusion
single chip microcomputer
