采用Emotiv感知的智能轮椅运动控制的研究

Motion control for intelligent wheelchair using Emotiv perception

采用Emotiv传感器设计了一种基于运动想象的智能轮椅控制系统。该系统利用独立分量分析算法对脑电信号进行去噪与特征提取,并用反向传播(back propagation,BP)神经网络将提取的特征分类为想象左右手、迈腿动作与平静状态。最终,设计出4个控制指令(左转、右转、前进和停止)实现对智能轮椅的实时控制。实验结果表明,该控制系统有较好的可行性和稳定性,为脑电信号控制在智能轮椅中的实际应用奠定了基础。

A control system for intelligent wheelchair based on motor imagery is designed by using Emotiv sensor.In this paper,independent component analysis（ICA）is used for electroencephalogram（EEG）denoising and feature extraction,and then the extracted features are classified as imagining left and right hand movement,legs movement and neutral state by back propagation（BP）neural network.Finally,the four control commands（turn left,turn right,forward and stop）are designed to achieve real-time control of intelligent wheelchair.Experiment result shows that the control system has better feasibility and stability.It establishes a basis of practical application for EEG control intelligent wheelchair.