摘要
为预防交通事故的发生,研究一种基于面压力传感器的无仪器佩戴式驾驶员疲劳识别方法。设计实施一种通过安装在驾驶员靠背上的面压力传感器获取压力信号的试验,将面压传感器时域数据进行频域信号处理,通过心电信号与面压信号的相干函数计算,验证面压力传感器信号中蕴藏心电信号的结论。通过对与心电信号相干系数进行降噪、心率变异性(heart rate variability,HRV)数据处理及数据修正,提取出和心率变异性信号LF值一致的结论。试验结果表明,利用面压传感器进行驾驶疲劳报警是准确的。
For preventing traffic accidents,research on non-instrument wearable driver fatigue identification method based on surface pressure sensor is researched.A test for obtaining the pressure signals through surface pressure sensor mounted on the back of the driver's seat is designed,the time domain signals is processed in frequency domain,then the coherence function of the ECG signal and the surface pressure signal is calculated,the conclusion of the correlation between ECG signal and surface pressure signal is verified.Then,the noise reduction of ECG signal and data processing and data modifying of HRV were verified.The conclusion is the same as the LF value of the heart rate variability signal.The results show that the surface pressure sensor is correct for fatigue driving detection.
作者
邓三鹏
蒋永翔
祁宇明
郭士杰
Deng Sanpeng;Jiang Yongxiang;Qi Yuming;Guo Shijie(Institute of Robotics&Intelligent Equipment,Tianjin University of Technology&Education,Tianjin 300222,China;School of Mechanical Engineering,Hebi Unirersity of Techndogy,Tianjing 300401,China)
出处
《兵工自动化》
2018年第3期64-67,共4页
Ordnance Industry Automation
基金
国家自然科学青年基金项目(61301040)
