文献知网节
  • 记笔记
摘要:This paper presents an LLE-ELM recognition model, which can identify upper limb motions with EMG signal acquisition system. In this study, the recognizing target set is established by the different angles of the two joint motions, surface electromyogram(s EMG) of shoulder and elbow actions are used as information sources, and the time-domain feature of the s EMG is formed to the characteristic vector space. LLE is used to reduce the difficulty of data calculation, and ELM is used to improve the speed and accuracy of motion recognition. Result shows that the validity of the LLE-ELM mixed model to identify the joint range of motions is verified.
会议名称:

2016 3rd International Conference on Materials Science and Mechanical Engineering(ICMSME 2016)

会议时间:

2016-09-29

会议地点:

英国温莎

  • 专辑:

    医药卫生科技

  • 专题:

    临床医学

  • 分类号:

    R496

  • 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:3 页码:161-166 页数:6 大小:999k

相关推荐
  • 相似文献
  • 读者推荐
  • 相关基金文献
  • 关联作者
  • 相关视频