首页> 外国专利> - SYSTEM FOR PROVIDING SUBJECT-INDEPENDENT BRAIN-COMPUTER INTERFACE AND METHOD THEREOF

- SYSTEM FOR PROVIDING SUBJECT-INDEPENDENT BRAIN-COMPUTER INTERFACE AND METHOD THEREOF

机译:-提供独立于计算机的接口的系统及其方法

摘要

The present invention relates to a user-independent brain-computer interface (BCI) providing system and a method thereof. The method is executed by a BCI system for providing a user-independent BCI. The method includes the steps of: (a) obtaining brain signals through one or more paradigms from multiple users and using the obtained brain signals to extract the characteristic pattern information of brain signals of each user and storing reference characteristic information including the same in a BCI database; (b) obtaining idle period brain signals of a new user during a preset resting time when the approach of the new user is sensed and extracting the characteristic pattern information from the idle period brain signals to compute target characteristic information; (c) comparing the reference characteristic information stored in the BCI interface with the target characteristic information in order to select the characteristic pattern information of the brain signals having a characteristic pattern most similar to the characteristic pattern information of the target characteristic information in the reference characteristic information; and (d) applying pre-transition learning information formed in advance to correspond to the characteristic pattern information of the selected brain signals to the new user. The pre-transition learning information includes the brain wave characteristic information including the average, covariance, and deviation of brain waves as well as spectral power for each frequency band and classifier information for classifying the brain wave pattern.
机译:本发明涉及一种与用户无关的脑机接口(BCI)提供系统及其方法。该方法由BCI系统执行,以提供与用户无关的BCI。该方法包括以下步骤:(a)通过一个或多个范式从多个用户获得脑信号,并使用获得的脑信号提取每个用户的脑信号的特征模式信息,并将包括该参考信号的特征信息存储在BCI中。数据库; (b)在感测到新用户的接近时的预设休息时间期间获得新用户的空闲时段脑信号,并从空闲时段脑信号中提取特征模式信息以计算目标特征信息; (c)将存储在BCI接口中的参考特征信息与目标特征信息进行比较,以选择具有与参考特征中的目标特征信息的特征模式信息最相似的特征模式的脑信号的特征模式信息。信息; (d)向新用户应用预先形成的与选择的脑信号的特征模式信息相对应的转换前学习信息。转换前学习信息包括脑电波特性信息和分类器信息,该脑电波特性信息包括脑电波的平均值,协方差和偏差以及每个频带的频谱功率,以及用于对脑电波模式进行分类的分类器信息。

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