Noninvasive brain-actuated control of a mobile robot by human EEG
Noninvasive brain-actuated control of a mobile robot by human EEG
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DOI：
10.1109/tbme.2004.827086
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发表时间：
2004-06-01
影响因子：
4.6
通讯作者：
Gerstner, W
中科院分区：
文献类型：
--
作者：
Millán, JD;Renkens, F;Gerstner, W
如果先进的机器人技术与异步脑电图（EEG）分析和机器学习技术相结合，非侵入性记录的大脑活动足以控制移动的机器人。到目前为止，脑驱动控制主要依赖于植入电极，因为基于EEG的系统被认为太慢，无法控制快速和复杂的运动序列。我们表明，两个人类受试者成功地移动机器人之间的几个房间的精神控制，使用基于EEG的脑机接口，识别三种精神状态。在同一任务中，心理控制与手动控制的性能比为0.74。
Brain activity recorded noninvasively is sufficient to control a mobile robot if advanced robotics is used in combination with asynchronous electroencephalogram (EEG) analysis and machine learning techniques. Until now brain-actuated control has mainly relied on implanted electrodes, since EEG-based systems have been considered too slow for controlling rapid and complex sequences of movements. We show that two human subjects successfully moved a robot between several rooms by mental control only, using an EEG-based brain-machine interface that recognized three mental states. Mental control was comparable to manual control on the same task with a performance ratio of 0.74.