Driving is mainly composed of perception and information processing . driver fatigue is the representation of physiological change 驾驶是以感知和信息处理为主的作业，驾驶疲劳是驾驶员作业行为变化和生理变化的多种形式的表现。
The study situation on detecting and evaluating techniques of motor driver fatigue in the world ( mainly in the u . s . a ) is reviewed in this paper 因此，许多国家都积极开展有关驾驶疲劳的研究工作，尤其在西方发达国家，此方面研究更为全面。
The state of driving fatigue can be examined by a testing system , which is developed by transportation safety laboratory of southwest jiaotong university 阐明驾驶疲劳所具有的二阶系统的一般特性。系统通过检测人体平衡能力的方法，检测驾驶疲劳状态。
The deterioration of driving ability owing to these factors leads to driver fault . consequently , the study of driver fatigue is fairly important to preventing traffic incidents 因此对驾驶疲劳的相关问题进行研究，对于预防交通事故有着重要的理论意义和应用价值。
The relation between df and physiological signals is analyzed , an evaluation method for df based on physiological signals is generalized and developed 驾驶疲劳与驾驶员生理信号变化存在一定的关系,在此分析基础上,总结并提出了基于人体生理信号的驾驶疲劳研究与实验方法。
A software system for acquisition , recognition and evaluation of the driver ' s face image is developed to realize the perclos - based recognition algorithms of motor driver fatigue mentioned above 通过对驾驶疲劳机理的研究，发现驾驶疲劳一般与驾驶时刻，睡眠历史，身体状况，天气情况等因素有关。
The results of the research provide the first - hand data about df and it also supplies a more objective reference and method of df study . it is significant to the reducing of df 本文在驾驶疲劳研究方面获得了第一手实验研究成果,为更客观地研究驾驶疲劳提供新的思路和方法,对减缓驾驶疲劳具有重要的意义。
Sound is one of the most important influencing factors of df . orthogonal design , subjective questionnaire and physiological signal measurement are used to research sound intensity , frequency and rhythm ’ s impact on df 声音是影响驾驶疲劳的一个重要因素,使用正交实验设计、主观调查问卷和生理参数测量等方法研究了声音声强、频率、节奏因素对驾驶疲劳的影响。
A feasible method based on the mathematical model and symmetry analysis is presented to detect and locate the driver ' s eye in an image and the gray scale mode matching technique is used to determine the driver fatigue level 而驾驶员的眼睛状况能够综合反映这些客观因素。尤其是眼睛闭合持续时间的百分率p s值和眼睛闭合持续时间的人小能够较为准确的表明驾驶疲劳的程度。
By using transfer function , quantitative analysis , pattern analysis and reduced analysis of driving fatigue can be finished . based on automatic control theory , driving fatigue can be analogized as two parts : inertia link and proportion differential link 采用传递函数将驾驶疲劳定量化、简约化、模式化，借用自控理论将驾驶疲劳类比为两个过程：类惯性环节的响应过程及类比例微分环节的响应过程。
