【作者】 邱健； 梁帅； 韩鹏； 骆开庆；

【Author】 QIU Jian;LIANG Shuai;HAN Peng;LUO Kaiqing;School of Physics and Telecommunication Engineering,South China Normal University;

【机构】 华南师范大学物理与电信工程学院；

【摘要】 疲劳驾驶成为了当前交通事故的主要原因之一。如果能针对驾驶员疲劳状态的监测和提醒,将有助于防止疲劳驾驶,减少交通事故的发生。本文基于人在疲劳时刻和清醒时刻脉搏频谱分量的不同,研制了基于FFT脉搏频谱分析,监测和提醒驾驶员疲劳状态的可穿戴式手环。装置基于ARM处理器,采用压敏传感器和信号放大和滤波处理等通用技术,拾取并处理驾驶员的脉搏生理信号;经过FFT获取脉搏信号的频谱分量。根据其中高频分量的比重,进而判断驾驶员的疲劳状态。通过实验得到了判断疲劳状态的阈值,证明该装置的设计方案是可行和可靠的。更多还原

【Abstract】 Fatigue is an important factor which causes the traffic accident.To prevent fatigue driving is an efficient way to reduce traffic accidents,fatigue driving detection is necessary.Awearablebracelet of real-time detecting fatigue state was studied,whichcould monitor the driver’s fatigue state and give a timely reminder.Based on the spectrum differences of human’s throb between the fatigue state and normal state of drivers,a pulse spectrum analyzing wearable device was designed.Thedevice was applied a pressure-sensitive sensor to capture throb signals of drivers.When these signals were processed by amplifier and filter circuits,FFT transform was used to analyze their spectrum.The proportion of high frequencies over 5Hz was computed,by whichthe fatigue driving could be identified.Through the experiments,not only threshold of proportion of high frequencies is obtained,also the results show that the design scheme of this wearablebracelet is feasible.更多还原