摘要
疲劳驾驶很容易造成道路交通事故,如果能够提早预警就非常有意义。基于人体疲劳机制以及系统性,提出视觉-眼动等效模型观察模拟眼动轨迹的仿真数据复杂度,提出一种基于相空间重构方法的疲劳驾驶的评价指标和疲劳程度分级标准,为疲劳检测的实际应用提供一种新的方法和理论依据,为更加早期的疲劳预警指明方向。
Based on the human fatigue mechanism and systemicity,this paper proposes a visual-eye movement model and observes the data's complexity of the simulated eye track.A fatigue evaluating index and fatigue level grading standard based on phase space reconstruction method are proposed in this paper.The practical application of this method would be provided a new method and theoretical basis,and the earlier fatigue detectionwould be indicated the direction.
出处
《工业控制计算机》
2019年第4期62-64,共3页
Industrial Control Computer
基金
浙江省公益性技术应用研究计划资助项目(2017C31079)
余姚浙江大学机器人研究院项目(K11805)
关键词
疲劳检测
生理定义
系统性缺失
相空间重构
复杂度
fatigue detection
fatigue physiology
lost of system association
phase space reconstruction
complexity
