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基于神经生理信号实时评价系统的机器人控制

发表时间:2011-12-15  浏览量:1149  下载量:357
全部作者: 张涛,朱孟斌
作者单位: 清华大学自动化系
摘 要: 介绍了一种基于神经生理信号实时评价系统的机器人控制方法。神经生理信号实时评价系统能够对多种神经生理信号进行获取和处理,并通过周期参数的计算对神经生理信号的特征进行提取,从而实现多种信号的综合评价。基于神经生理信号实时评价系统,利用眼电信号产生机器人的控制信号,通过分析脑电信号的α波信号判别眼电信号的主动性。该研究以机器人Rovio为控制对象,通过实验实现了基于神经生理信号实时评价系统的机器人控制,验证了上述方法的有效性。
关 键 词: 生物医学电子学;神经生理信号;评价;眼电图;机器人控制;Rovio
Title: A robot control approach based on real time neuro-biological signal evaluation system
Author: ZHANG Tao, ZHU Mengbin
Organization: Department of Automation, Tsinghua University
Abstract: This paper introduces a robot control appraoch based on real time neuro-biological signal evaluation system. Various neuro-biological signals can be acquired and processed by the real time neuro-biological signal evaluation system. By the calculation of parameters, the features of neuro-biological signals can be extracted and therefore the evaluation of various signals can be implemented. In this research, the robot control signals are generated by electro-oculogram (EOG) in the real time neuro-biological signal evaluation system. The initiative of EOG signals are judged by the analysis on the α wave of electro-encephalogram (EEG) signals. By use of robot Rovio, the proposed control approach has been implemented and the effectiveness of the proposed method can be verified.
Key words: biomedical electronics; neuro-biological signals; evaluation; electro-oculogram; robot control; Rovio
发表期数: 2011年12月第23期
引用格式: 张涛,朱孟斌. 基于神经生理信号实时评价系统的机器人控制[J]. 中国科技论文在线精品论文,2011,4(23):2041-2149.
 
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