摘要
针对目前车载疲劳驾驶检测系统实施性差、可靠性差及准确率低等现状,为能快捷、准确有效的对驾驶员状态作出实时检测及预警。设计了基于空间聚类心率检测算法的疲劳驾驶实时检测系统。从设备运用数据块与数据单元采集算法得到驾驶员心率值,经处理后通过蓝牙上传至主设备,主设备利用心率方差与疲劳度的相关性,并结合空间聚类算法分析处理,以此来判断驾驶员是否为疲劳状态。实验表明本系统准确率高、实时性好,能有效地对驾驶员疲劳状态作出预警,验证了本系统检测方法的可行性与正确性。
In view of the current poor *performance poor reliability and low accuracy of the vehicle fatigue driving detection system. in order to quickly? accurately and effectively make real-time detection and early warning of the driver s state.This paper designs a real-time fatigue driving detection system based on spatial clustering heart rate detection algorithm. The driver's heart rate value is obtained from the device using the data block and the data unit acquisition algorithm ,and is processed and uploaded to the main device through Bluetooth. The main device uses the correlation between the heart rate variance and the fatigue degree, and combines with the spatial clustering algorithm for analysis and processing and judge if the driver is in a state of fatigue. Experiments show that the system has high accuracy and good realtime performance, and can effectively warn the driver s fatigue state, which verifies the feasibility and correctness of the system detection method.
作者
王延年
柴小强
向秋丽
Wang Yannian;Chai Xiaoqiang;Xiang Qiuli(Xi'an Polytechnic University,College of Electronics and In formation,Xi'a n 710048,China)
出处
《国外电子测量技术》
2019年第5期91-95,共5页
Foreign Electronic Measurement Technology
关键词
疲劳驾驶
空间聚类
蓝牙
预警
心率方差
fatigue driving
spatial clustering
bluetooth
early warning
heart rate variance