• DocumentCode
    2069817
  • Title

    Application of digital signal processor in EMG-based human machine interface

  • Author

    Zhao Li ; Yuan Pengxian ; Xiao Longteng ; Meng Qingguo

  • Author_Institution
    Acad. of Autom. & Electr. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    2788
  • Lastpage
    2791
  • Abstract
    The paper presents a electromyography (EMG) acquisition system of human-machine interface. After being transferred through amplifier and AD converter, The EMG signal then goes into feature extraction and classification procedures. finally, gesture recognition is completed and corresponding commands are output to control peripherals. The system, which is based on DSP TMS320F2812, utilize the chip´s rich peripheral and outstanding capability of digital signal processing to complete the work of EMG information acquisition, processing, feature extraction and IO port control. A EMG amplifier and DSP development board were designed in system for hardware, also, DSP algorithm was designed to process EMG information and control IO port. thus a man-machine interface based on embedded technology and miniaturization was built.
  • Keywords
    analogue-digital conversion; digital signal processing chips; electromyography; feature extraction; gesture recognition; human computer interaction; AD converter; DSP TMS320F2812; DSP development board; EMG information acquisition; EMG signal; EMG-based human machine interface; IO port control; classification procedure; digital signal processing; digital signal processor; electromyography acquisition system; feature extraction; gesture recognition; human-machine interface; Adaptive filters; Band pass filters; Digital filters; Digital signal processing; Electromyography; Feature extraction; User interfaces; DSP; EMG; Human Machine Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5571981