摘要
设计了一种基于传感器技术的脑—机接口(BCI)系统,实现了实时控制光标移动,系统包括传感器部分和信号处理部分。系统通过采集操作者头部O1,O2导联处的脑电信号,提取其α波,利用Fisher判别分析方法判断受试者闭眼时长输出不同控制命令,快速可靠地控制光标进行二维移动。实验表明:未经先期训练的操作者均能通过本系统快速地完成光标控制任务,且具有很高的识别正确率。该系统采用异步工作模式,输出控制命令仅需3.6～5.4 s,具有较好的实用性。
A brain computer interface （BCI）system based on sensor technology is designed to realtime control cursor movement. The system consists of sensor and signal processing parts. The system requires two electrode O1, 02 for recording the EEG signal on the scalp to extract the α wave. The cursor movement in 2D space can be controlled rapidly and reliably by Fisher discriminant approach to judge the lasting time when the subject closing eyes to output different commands. The experimental results indicate that the subjects without pre-training can complete the task of cursor movement control quickly via this system. The developed BCI system operates in asynchronous mode and can output control command within 3.6 -5.4s with good usability.
出处
《传感器与微系统》
CSCD
北大核心
2012年第12期101-103,106,共4页
Transducer and Microsystem Technologies
基金
国家青年科学基金资助项目(51107150)
国家"111"计划资助项目(B08036)
中央高校基本科研业务费资助项目(CDJXS11150015)
关键词
传感器
脑电
Α波
脑-机接口
异步
sensor
electroencephalogram （EEG）
a wave
brain-computer interface （BCI）
asynchronous
