华中科技大学学报（自然科学版）2013，Vol.41Issue(7)：109-114,6.
基于脑电α/β波的智能轮椅人机交互
Intelligent wheelchair human-machine interaction using α/β wave of EEG
摘要
Abstract
On the basis of intelligent wheelchairs controlled by signals from EEG (electroencephalograph),a human-machine interaction for intelligent wheelchair was presented based on the α/β wave form EEG.The intelligent wheelchair was controlled forward by the α wave of closing eyes EEG signals and was controlled left turn and right turn by the9 wave left-right hands motor imagery EEG signals.Meanwhile,A RCSP (regularizing common spatial pattern) algorithm with penalty was also presented.It is verified experimentally that the average accuracies which the subjects control intelligent wheelchair,or the recognition rates of three kinds of EEG signals are more than 85 ％,and the maximum accuracy reaches as high as 89.17％,closing to the recognition rate by using the traditional methods for two kinds of motor imagery EEG signals.Finally,the experiment controlling intelligent wheelchair off a fixed trajectory with "8" glyph was operated by the subjects.The experiment results show that each subject can finish the experiment task,further showing that the interactive method is feasible.关键词
脑电/智能轮椅/运动想象/特征提取算法/人机交互Key words
EEG (electroencephalograph)/ intelligent wheelchair/ motor imagery/ feature extraction algorithm/ human-machine interaction分类
医药卫生引用本文复制引用
张毅,罗明伟,罗元,徐晓东..基于脑电α/β波的智能轮椅人机交互[J].华中科技大学学报（自然科学版）,2013,41(7):109-114,6.基金项目
科技部国际合作项目(2010DFA12160) （2010DFA12160）
国家自然科学基金资助项目(51075420). （51075420）
