摘要
结合嵌入式系统和脑-机接口技术,构建脑力驱动残疾人轮椅系统。首先利用脑电信号(EEG信号)的采集芯片装置TGAM对脑电信号进行采集;其次通过蓝牙模块将TGAM和计算机相连接,将采集到的脑波原始数据传输到计算机上,利用e Sense算法将脑电数据进行量化;然后再通过蓝牙无线连接到Arduino轮椅控制平台,通过I/O控制口实现脑力对轮椅的控制;最后提出采用多语言混合编程的方法实现脑电信号的图像显示,相比单一语言编程的图像显示,多语言混合编程法更好地显示了脑电信号的三维图像。
A mental drive wheelchairs system for the disabled by means of embedded system and brain computer interface is built. Firstly,it acquired the EEG dataset through the EEG acquisition device with the TGAM chip. Secondly,the TGAM and PC was connected with bluetooth,while the data acquired from the TGAM were transferred wirelessly to PC and were quantized by e Sence algorithm. Thirdly,the Arduino wheelchairs control platform was wirelessly connected to PC with bluetooth,and controlled by I / O interface with the quantized EEG data. Finally,the paper proposed a method for image display of EEG using multiple mixed language programming. Compared with the single language image display,multi- language mixed programming method shows a better three- dimensional images of EEG.
出处
《微型机与应用》
2016年第3期92-95,共4页
Microcomputer & Its Applications
基金
省级大学生创新训练计划项目资助(201410293026Z
201510293068X)
