| 异步脑—机接口的空闲状态检测新方法* |
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| 引用本文： | 刘美春,谢胜利.异步脑—机接口的空闲状态检测新方法*[J].计算机应用研究,2010,27(1):151-153. |
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| 作者姓名： | 刘美春 谢胜利 |
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| 作者单位： | 华南理工大学,电子与信息学院,广州,510640 |
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| 基金项目： | 国家自然科学基金资助项目（60774094，60874061 ） |
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| 摘 要： | 提出一种新的空闲状态检测方法，以训练集中各类运动想象样本的类内散度和正确检测率为指标，结合接收机曲线确定分类阈值，设计最佳三分类器，并采用模糊化技术对预测标签进行处理。将该方法应用于2005年BCI竞赛数据IVc，测试的均方误差为0.278 7。实验结果验证了该方法的有效性。
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| 关 键 词： | 异步脑—机接口 空闲状态 类内散度 接收机特性 共空间模式 均方误差 |
Novel method for detection of idle state in brain-computer interface system |
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| LIU Mei-chun,XIE Sheng-li.Novel method for detection of idle state in brain-computer interface system[J].Application Research of Computers,2010,27(1):151-153. |
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| Authors: | LIU Mei-chun XIE Sheng-li |
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| Affiliation: | (School of Electronic & Information Engineering, South China University of Technology, Guangzhou 510640, China) |
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| Abstract: | Thie paper proposed a novel method for detecting idle state. With within-class scatter and the accuracy of the motor samples in training set as two indexes, the proposed method used the idea of ROC to determine the thresholds, and designed an optional 3-classifier. And made a fuzzy on the predicted value at the same time. Obtained a final test result with mean squared error of 0.278 7 on the BCI competition 2005 dataset IVc. The result validates the efficiency of the proposed method. |
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| Keywords: | asynchronous brain-computer interface(BCI) idle state within-class scatter receiver operating characteristics(ROC) common spatial patterns mean square error(MSE) |
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