Brain-computer interface system and method
    2.
    发明授权
    Brain-computer interface system and method 有权
    脑机接口系统及方法

    公开(公告)号:US09538934B2

    公开(公告)日:2017-01-10

    申请号:US13638355

    申请日:2010-03-31

    摘要: A method of training a classification algorithm for a Brain Computer Interface (BCI). The method includes the steps of: dividing a Electroencephalography (EEG) signal into a plurality of time segments; for each time segment, dividing a corresponding EEG signal portion into a plurality of frequency bands; for each frequency band, computing a spatial filtering projection matrix based on a Common Spatial Pattern (CSP) algorithm and a corresponding feature, and computing mutual information of each corresponding feature with respect to one or more motor imagery classes; for each time segment, summing the mutual information of all the corresponding features with respect to the respective classes; and selecting the corresponding features of the time segment with a maximum sum of mutual information for one class for training classifiers of the classification algorithm.

    摘要翻译: 一种训练大脑计算机接口(BCI)分类算法的方法。 该方法包括以下步骤:将脑电图(EEG)信号分成多个时间段; 对于每个时间段,将相应的EEG信号部分分成多个频带; 对于每个频带,基于公共空间模式(CSP)算法和对应的特征来计算空间滤波投影矩阵,并且针对一个或多个运动图像类计算每个对应特征的相互信息; 对于每个时间段,对相应类别的所有相应特征的相互信息求和; 并且对于分类算法的训练分类器,对于一个等级的互信息的最大和来选择时间段的相应特征。

    BRAIN-COMPUTER INTERFACE SYSTEM AND METHOD
    3.
    发明申请
    BRAIN-COMPUTER INTERFACE SYSTEM AND METHOD 有权
    脑计算机接口系统和方法

    公开(公告)号:US20130138011A1

    公开(公告)日:2013-05-30

    申请号:US13638355

    申请日:2010-03-31

    IPC分类号: A61B5/0482 A61B5/00 A61B5/04

    摘要: A system and method for brain-computer interface (BCI) based interaction. The method comprising the steps of: acquiring a person's EEG signal; processing the EEG signal to determine a motor imagery of the person; detecting a movement of the person using a detection device; and providing feedback to the person based on the motor imagery, the movement, or both; wherein providing the feedback comprises activating a stimulation element of the detection device for providing a stimulus to the person. The system comprising: means for acquiring a person's EEG signal; means for processing the EEG signal to determine a motor imagery of the person; means for detecting a movement of the person using a detection device; and means for providing feedback to the person based on the motor imagery, the movement, or both; wherein the means for providing the feedback comprises a stimulation element of the detection device for providing a stimulus to the person.

    摘要翻译: 基于脑 - 计算机接口(BCI)的交互的系统和方法。 该方法包括以下步骤:获取人的脑电信号; 处理EEG信号以确定人的运动图像; 使用检测装置检测人的移动; 并基于运动图像,运动或两者向人提供反馈; 其中提供所述反馈包括激活所述检测装置的刺激元件以向所述人提供刺激。 该系统包括:用于获取人的脑电信号的装置; 用于处理脑电信号以确定人的运动图像的装置; 用于使用检测装置检测人的移动的装置; 以及用于基于所述运动图像,所述运动或两者向所述人提供反馈的装置; 其中用于提供反馈的装置包括用于向人提供刺激的检测装置的刺激元件。

    Method and system for concentration detection
    6.
    发明授权
    Method and system for concentration detection 有权
    浓度检测方法和系统

    公开(公告)号:US08862581B2

    公开(公告)日:2014-10-14

    申请号:US12990156

    申请日:2008-04-28

    摘要: There is a method and a system for concentration detection. The method for concentration detection includes the steps of extracting temporal features from brain signals; classifying the extracted temporal features using a classifier to give a score x1; extracting spectral-spatial features from brain signals; selecting spectral-spatial features containing discriminative information between concentration and non-concentration states from the set of extracted spectral-spatial features; classifying the selected spectral-spatial features using a classifier to give a score x2; combining the scores x1 and x2 to give a single score; and determining if the subject is in a concentration state based on the single score.

    摘要翻译: 有一种浓度检测方法和系统。 浓度检测方法包括从脑信号中提取时间特征的步骤; 使用分类器对提取的时间特征进行分类以给出分数x1; 从脑信号中提取光谱空间特征; 从提取的光谱 - 空间特征的集合中选择含有浓度和非浓度状态之间的鉴别信息的光谱 - 空间特征; 使用分类器对选定的光谱 - 空间特征进行分类,得到分数x2; 综合得分x1和x2给出单分; 以及基于所述单个分数确定所述对象是否处于浓度状态。

    METHOD AND SYSTEM FOR CONCENTRATION DETECTION
    8.
    发明申请
    METHOD AND SYSTEM FOR CONCENTRATION DETECTION 有权
    浓度检测方法与系统

    公开(公告)号:US20110191350A1

    公开(公告)日:2011-08-04

    申请号:US12990156

    申请日:2008-04-28

    IPC分类号: G06F17/30

    摘要: A method and system for concentration detection. The method for concentration detection comprises the steps of extracting temporal features from brain signals; classifying the extracted temporal features using a classifier to give a score x1; extracting spectral-spatial features from brain signals; selecting spectral-spatial features containing discriminative information between concentration and non-concentration states from the set of extracted spectral-spatial features; classifying the selected spectral-spatial features using a classifier to give a score x2; combining the scores x1 and x2 to give a single score and determining if the subject is in a concentration state based on the single score.

    摘要翻译: 一种浓度检测方法和系统。 浓度检测方法包括从脑信号中提取时间特征的步骤; 使用分类器对提取的时间特征进行分类以给出分数x1; 从脑信号中提取光谱空间特征; 从提取的光谱 - 空间特征的集合中选择含有浓度和非浓度状态之间的鉴别信息的光谱 - 空间特征; 使用分类器对选定的光谱 - 空间特征进行分类,得到分数x2; 组合得分x1和x2以给出单个分数,并基于单个分数确定受试者是否处于浓度状态。