说明：  脑电数据进行分类从而控制车辆，为有运动障碍的人提供一种驾驶车辆的新通道。增加了α波监测模块，用于车辆的起停控制。在steyrl的方法（见第三篇文献阅读）的基础上进行了改进，增加了特征选择模块，用于选择对分类最有帮助的特征。文中利用的特征提取方法为AUC（ROC曲线下面积）。将分类结果用于车辆的方向控制。
(EEG data is classified to control the vehicle, providing a new way for people with movement disorders to drive the vehicle. An alpha wave monitoring module has been added for the start and stop control of the vehicle. Based on the method of steyrl (see the third literary reading), an improved feature selection module was added to select the features that are most helpful for classification. The feature extraction method used in this paper is AUC (area under the ROC curve). The classification result is used for the direction control of the vehicle.)