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针对单通道肌电信号信息量不足导致的在控制中操作复杂,响应时间长,容易出错的缺点,提出一种混合了肌电(EMG)、眼电(EOG)及视觉的多传感器智能轮椅控制系统。该系统通过采集嚼下巴动作的肌电信号来控制智能轮椅的前进和停止,采集眨左右眼的眼电信号和闭眼图像信号来控制左转和右转。在室内环境下分别邀请对控制系统熟悉和不熟悉的人进行单肌电控制和混合控制。通过重复性实验验证混合控制系统有更好的易操作性和稳定性。
Aiming at the shortcomings of complex operation, long response time and easy error in the control due to the lack of information of single-channel electromyography signal, a multi-sensor intelligent wheelchair control combined EMG, EOG and vision is proposed. system. The system controls the left and right turning of the intelligent wheelchair by collecting the EMG signals of chewing chin movement, collecting the electrooculogram and the closed eye image signals blinking left and right eyes. In the indoor environment were invited to control the system are familiar and unfamiliar people for single myoelectric control and hybrid control. The hybrid control system has been proved to be easier to operate and to be stable by repeated experiments.