论文标题
表面肌电图控制的行人碰撞避免：驾驶模拟器研究
Surface Electromyography-controlled Pedestrian Collision Avoidance: A Driving Simulator Study
论文作者
论文摘要
偏瘫或单侧上肢截肢等残疾驾驶员将方向盘操作限制为一只手臂，可能会在避免行人碰撞期间遇到稳定车辆的挑战。为这些驱动程序开发了一个SEMG控制的转向辅助系统，以便只有一个健康的手臂使快速方向盘旋转。招募了测试驱动程序以使用Myo臂章作为基于SEMG的界面，以在驾驶模拟器中进行行人碰撞。假设基于SEMG的界面在车辆稳定性方面与自动驾驶和常规方向盘操作的手动接管相当或卓越。 Myo臂章界面比自动驾驶的手动接管明显优于与手动方向盘操作相当的手动收购。驾驶模拟器试验的结果证实了SEMG控制系统的可行性，这是一种安全的替代方案，可以使上述障碍驾驶员受益。
Drivers with disabilities such as hemiplegia or unilateral upper limb amputation restricting steering wheel operation to one arm could encounter the challenge of stabilizing vehicles during pedestrian collision avoidance. An sEMG-controlled steering assistance system was developed for these drivers to enable rapid steering wheel rotation with only one healthy arm. Test drivers were recruited to use the Myo armband as a sEMG-based interface to perform pedestrian collision avoidance in a driving simulator. It was hypothesized that the sEMG-based interface would be comparable or superior in vehicle stability to manual takeover from automated driving and conventional steering wheel operation. The Myo armband interface was significantly superior to manual takeover from automated driving and comparable to manual steering wheel operation. The results of the driving simulator trials confirm the feasibility of the sEMG-controlled system as a safe alternative that could benefit drivers with the aforesaid disabilities.
