›› 2011, Vol. 24 ›› Issue (8): 33-.

• 论文 • 上一篇    下一篇

脑机接口中基于MRP的半监督判决空间模式法

吕俊   

  1. (广东工业大学 自动化学院,广东 广州 510006)
  • 出版日期:2011-08-15 发布日期:2011-08-19
  • 作者简介:吕俊(1979—),男,博士后。研究方向:模式识别,脑机接口。
  • 基金资助:

    国家自然科学基金资助项目(U0635001,U0835003)

Semi-Supervised Discriminative Spatial Patterns Based on MRP for Brain-Computer Interfaces

 LV Jun   

  1. (College of Automation,Guangdong University of Technology,Guangzhou 510006,China)
  • Online:2011-08-15 Published:2011-08-19

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。

关键词: 脑-机接口, 运动相关电位, 判决空间模式法

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.

Key words: brain-computer interface;movement related potential;discriminative spatial pattern

中图分类号: 

  • TN911.7