基于脑电和肌电信号的人机信息交互装置

Human-machine Interface Based on Electroencephalogram and Electromyography

人体脑电和表面肌电信号,可以反映人的控制意图,实现人机信息交互,控制外围的机械设备,如机器人。多模式人机信息交互装置以数字信号处理器作为信息处理的核心,主要采集人体的脑电、表面肌电,经算法处理,提取反映人控制意识的特征量,形成控制指令,实现对外围设备的控制。该装置同时具备简单的固定词汇语音识别功能。大量实验表明:开发的装置运行效果良好,可以控制机器人进行面板操作,具有较高可靠性。

The Electroencephalogram （EEG） and electromyography （EMG） sampled from skin surface mirror the control idea of human being which is used to control machine such as a robot. Digital signal processor （DSP） was used to sample EEG and EMG in the multi-mode based device. The feature of signal was extract by algorithm running in DSP to control the machine. The speech recognition based on fixed Chinese words was included in the device. Many tests prove that the developed device is capable to control the robot for key operation on a panel with high reliability.