首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:Fuzzy Classification of Hand’s Motion
  • 本地全文:下载
  • 作者:Lukas Peter ; Filip Maryncak ; Antotnino Proto
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:6
  • 页码:354-359
  • DOI:10.1016/j.ifacol.2018.07.179
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe goal of this work was to create the measurement circuit that would be able to measure and classify signal of myopotentials to classify specific gestures of hand.Realization of the system for classification of hand’s gestures is described in this paper. Hardware prototype of four measuring channels was created by combination of 2nd order filters and right amount amplification. For digitizing the data, the Arduino Nano microcontroller was selected and programmed using defined communication protocol. The computer software is programmed in C# programming language. Signal processing and drawing to user interface is in real time. The one of five possible gestures that user made is chosen using fuzzy logic and designed system of scaling.
  • 关键词:Keywordselectromyographyfuzzyclassiffication of myopotentialshands gestures
国家哲学社会科学文献中心版权所有