基于脑电分析的草原道路驾驶员疲劳水平参照阈研究

发布时间：2018-06-06 14:22

本文选题：草原道路 + 疲劳　；参考：《内蒙古农业大学》2014年硕士论文

【摘要】：近年来随着草原人民生活水平的不断提高和草原旅游业的不断发展,草原地区机动车保有量不断提高,公路网密度和通车里程逐年增长,导致草原地区交通事故逐年增加,其中因驾驶疲劳而导致的交通事故占有很大的比例。所以,及时判别驾驶疲劳并有效预防和阻止驾驶疲劳的发生,对减少草原地区交通事故并提高草原道路交通安全,具有至关重要的意义。目前脑电信号一直被国内外很多学者认为是反映驾驶疲劳的“金指标”,但很多学者只是研究了驾驶员处于清醒状态及疲劳状态的脑电信号比率值的差异,而对驾驶员处于这两种状态脑电信号参照阈的研究却鲜有报道。为了保障驾驶员的行车安全,判别驾驶员行车过程中所处状态,就需要对驾驶员脑电信号参照阈进行准确的限定。因此本文通过研究草原道路上驾驶员脑电信号的参照阈,来判定驾驶员的清醒状态和疲劳状态,进而预防因驾驶疲劳所引发的草原公路交通事故。本文以驾驶员在草原道路上行车过程中的脑电信号为研究对象,通过对实驾实验所采集到的驾驶员脑电信号α/β及(α+θ)/β的比率值做配对T检验,判断出驾驶员处于清醒状态和疲劳状态的时间段,并通过主观调查问卷验证了本文所划分时间段的合理性。然后结合主成分析法中累计贡献率思想提出了一种简单而精确的参照阈计算方法,最终得到驾驶员处于清醒状态和疲劳状态脑电信号的参照阈。结果证明本算法能准确快速的确定驾驶员行车过程中脑电信号的参照阈,在驾驶员驾驶行为各指标的计算中具有普遍适用性,有利于后期对驾驶疲劳检测的研究。本文得出的主要结论有：(1)结合主成分分析法,提出了一种适于计算参照阈的算法。(2)应用AcqKnowledge软件对脑电波进行分析,得到驾驶员脑电信号中α/β和(α+θ)/β的比值随着驾驶疲劳的加强会出现上升的趋势。(3)草原道路驾驶员在20-30min左右首次出现疲劳状态。(4)驾驶员处于清醒状态时脑电信号中的α波参照阈为：9-13.08Hz；β波参照阈为：16.23～19.28Hz；θ波参照阈为：4.73-5.07Hz。驾驶员处于疲劳状态时脑电信号中α波参照阈为：7.99-9Hz；p波参照阈为：13.91-16.23Hz；θ波参照阈为：5.17～5.41Hz。
[Abstract]:In recent years, with the continuous improvement of the people's living standards and the continuous development of the grassland tourism industry, the number of motor vehicles in the grassland area is increasing, the density of highway network and the mileage of the highway network are increasing year by year, which leads to the increase of traffic accidents in the grassland area year by year. Among them, traffic accidents caused by driving fatigue occupy a large proportion. So it is very important to distinguish driving fatigue and prevent driving fatigue in time to reduce traffic accidents and improve road traffic safety in grassland area. At present, EEG signals have been regarded by many scholars at home and abroad as "golden indicators" to reflect driving fatigue. However, many scholars have only studied the differences in the ratio of EEG signals in the awake and fatigue states of drivers. However, there are few reports on the reference threshold of EEG signals in these two states. In order to ensure the driver's driving safety and distinguish the driver's state in the driving process, it is necessary to define the driver's EEG reference threshold accurately. Therefore, by studying the reference threshold of the driver's EEG on the steppe road, this paper determines the driver's awake state and fatigue state. In order to prevent the traffic accidents caused by driving fatigue, this paper takes the EEG signal of the driver driving on the prairie road as the research object. The ratio values of EEG 伪 / 尾 and (伪胃) / 尾 were tested by paired T test, and the time period of the driver's waking state and fatigue state was determined by the T test of the ratio of 伪 / 尾 and (伪胃) / 尾, which were collected from the actual driving experiment. The rationality of the time period is verified by subjective questionnaire. Then a simple and accurate calculation method of reference threshold is proposed based on the idea of cumulative contribution rate in principal component analysis method. Finally the reference threshold of EEG signal in awake state and fatigue state of driver is obtained. The results show that this algorithm can accurately and quickly determine the reference threshold of EEG in driver driving process, and it has universal applicability in the calculation of drivers' driving behavior, which is beneficial to the later study of driving fatigue detection. The main conclusions of this paper are: (1) combining with principal component analysis (PCA), a new algorithm for calculating reference threshold is proposed. (2) using AcqKnowledge software to analyze brain waves. The results show that the ratio of 伪 / 尾 and (伪胃 O / 尾) in driver's EEG signal will increase with the increase of driving fatigue.) the steppe road driver appears fatigue state for the first time around 20-30min. The reference threshold of 伪 wave is: 9-13.08 Hz; the reference threshold of 尾 wave is 1: 16.23 ~ 19. 28 Hz; the reference threshold of 胃 wave is 1: 4.73-5. 07 Hz. When the driver is in the fatigue state, the reference threshold of 伪 wave in EEG signal is: 1: 7.99-9HzP wave reference threshold: 1: 13.91-16.23 Hz, and the 胃 wave reference threshold is: 5. 17 ~ 5. 41Hz.
【学位授予单位】：内蒙古农业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.25

【参考文献】