IEEE Trans Neural Syst Rehabil Eng. 2019 Sep;27(9):1732-1742. doi: 10.1109/TNSRE.2019.2931360. Epub 2019 Jul 26.
Using brain signals rather than limbs to control a vehicle may not only help persons with disabilities to acquire driving ability, but also provide healthy persons with a new alternative way to drive. In this paper, we propose a combined lateral and longitudinal control system for electroencephalogram (EEG) signals-based brain-controlled vehicles (BCVs). The proposed system is designed by integrating a user interface, a brain-computer interface (BCI), a control interface model, a lateral controller, and a longitudinal controller. We conduct driver-and-hardware-in-the-loop experiments under two control conditions (i.e., the brain- and manual-control conditions) with different subjects and three driving tests (i.e., the lane-changing, path-selection, and car-following tests). Experimental results show the feasibility of using brain signals to continuously perform both the lateral and longitudinal control of a vehicle. This study not only promotes the development of BCVs, but also provides some insights on how to apply BCIs in conjunction with assistant controllers to control other dynamic systems.
使用大脑信号而不是肢体来控制车辆,不仅可以帮助残疾人士获得驾驶能力,还可以为健康人士提供一种新的驾驶方式。本文提出了一种基于脑电图(EEG)信号的脑控车辆(BCV)的横向和纵向组合控制系统。该系统通过集成用户接口、脑机接口(BCI)、控制接口模型、横向控制器和纵向控制器来设计。我们在两个控制条件(即脑控制和手动控制条件)下进行了驾驶员和硬件在环实验,涉及不同的受试者和三种驾驶测试(即变道、路径选择和跟车测试)。实验结果表明,使用大脑信号连续执行车辆的横向和纵向控制是可行的。这项研究不仅促进了 BCV 的发展,还为如何将 BCI 与辅助控制器结合使用来控制其他动力系统提供了一些见解。