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BRAIN-COMPUTER INTERFACING METHOD FOR CONTROLLING ROBOT ARM DEVICE AND BRAIN-COMPUTER INTERFACE APPARATUS

机译:控制机器人手臂装置的脑计算机接口方法及脑计算机接口装置

摘要

The present invention provides a method of generating control signals for a brain-computer interface (BCI) apparatus to control operations of a robot arm device; and the BCI apparatus. The method comprises the following steps: measuring first brain waves and extracting abstract characteristics of the first brain waves; determining, based on the abstract characteristics of the first brain waves, one control mode from an arm extension control mode, a hand clenching/unclenching control mode, and a wrist rotation control mode; feeding the determined control mode back to a user; measuring an error-related displacement; if the error-related displacement exceeds a threshold value, re-extracting abstract characteristics of the first brain waves and re-determining a control mode, and if the error-related displacement does not exceed the threshold value, measuring second brain waves; applying, according to the determined control mode, mutually different extraction methods and mutually different classification methods to the second brain waves to extract a result value; and providing a control signal generated based on the result value to a robot arm device.;COPYRIGHT KIPO 2019
机译:本发明提供一种为脑计算机接口(BCI)设备生成控制信号以控制机器人手臂设备的操作的方法。和BCI设备。该方法包括以下步骤:测量第一脑电波并提取第一脑电波的抽象特征。根据第一脑电波的抽象特征,确定手臂伸展控制模式,手握紧/放松控制模式和腕部旋转控制模式中的一种控制模式;将确定的控制模式反馈给用户;测量与误差有关的位移;如果与误差有关的位移超过阈值,则重新提取第一脑电波的抽象特征并重新确定控制模式;以及如果与误差有关的位移不超过阈值,则测量第二脑电波;根据确定的控制方式,将互不相同的提取方法和互不相同的分类方法应用于第二脑波以提取结果值;并将基于结果值生成的控制信号提供给机器人手臂设备。; COPYRIGHT KIPO 2019

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