文献知网节
  • 记笔记
摘要:Brain-computer interface(BCI) is a hardware and software communication system that enables humans to interact with their surrounding without the involvement of peripheral nerves and muscles by using control signals generated from electroencephalographic activity. In this paper, we report on results of developing motor imagery feature extraction method for BCI. The wavelet coefficients were used to extract the features from the motor imagery EEG and the Bayes Net, SVM and RBFN were utilized to classify the pattern of left, right hand movement and forward imagery. The performance was tested using dataset from BCI competition III and satisfactory results are obtained with accuracy rate as high as 99.0674%.
会议名称:

The 6th International Conference on Computer Research and Development

会议时间:

2014-09

会议地点:

Hanoi, Vietnam

  • 专辑:

    基础科学; 医药卫生科技; 信息科技

  • 专题:

    生物学; 基础医学; 电信技术

  • 分类号:

    R338;TN911.7

  • 手机阅读
    即刻使用手机阅读
    第一步

    扫描二维码下载

    "移动知网-全球学术快报"客户端

    第二步

    打开“全球学术快报”

    点击首页左上角的扫描图标

    第三步

    扫描二维码

    手机同步阅读本篇文献

  • CAJ下载
  • PDF下载

下载手机APP用APP扫此码同步阅读该篇文章

下载:7 页码:57-61 页数:5 大小:873k

引文网络
  • 参考文献
  • 引证文献
  • 共引文献
  • 同被引文献
  • 二级参考文献
  • 二级引证文献
  • 批量下载
相关推荐
  • 相似文献
  • 读者推荐
  • 相关基金文献
  • 相关法规
  • 关联作者
  • 相关视频