| 脑机接口中基于MRP的半监督判决空间模式法 |
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| 引用本文： | 吕俊. 脑机接口中基于MRP的半监督判决空间模式法[J]. 电子科技, 2011, 24(8): 33-35 |
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| 作者姓名： | 吕俊 |
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| 作者单位： | (广东工业大学 自动化学院,广东 广州 510006) |
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| 基金项目： | 国家自然科学基金资助项目(U0635001,U0835003) |
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| 摘 要： | 在脑-机接口研究中,如果训练样本少,判决空间模式法不能很好地提取运动相关电位特征。为此,文中在半监督框架下,采用自训练方法,引入分类置信度高的无标记样本,迭代学习MRP的空间判决模式。实验结果验证了所提算法的有效性。
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| 关 键 词： | 脑-机接口 运动相关电位 判决空间模式法 |
Semi-Supervised Discriminative Spatial Patterns Based on MRP for Brain-Computer Interfaces |
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| LV Jun. Semi-Supervised Discriminative Spatial Patterns Based on MRP for Brain-Computer Interfaces[J]. Electronic Science and Technology, 2011, 24(8): 33-35 |
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| Authors: | LV Jun |
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| Affiliation: | (College of Automation,Guangdong University of Technology,Guangzhou 510006,China) |
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| Abstract: | In the study of brain-computer interface,if the number of training samples is small,the features of movement related potentials can not be well extracted by discriminative spatial pattern algorithm.Thus in this paper,semi-supervised self-training scheme is employed to induce the unlabelled samples with high confidences and learn the discriminative patterns of MRPs iteratively.The results of experiments demonstrate the effectiveness of the proposed algorithm. |
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| Keywords: | brain-computer interface movement related potential discriminative spatial pattern |
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