• DocumentCode
    2948438
  • Title

    Compact human-machine interface using surface electromyography

  • Author

    Simmons, Luke P. ; Welsh, James S.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle Australia, Newcastle, NSW, Australia
  • fYear
    2013
  • fDate
    9-12 July 2013
  • Firstpage
    206
  • Lastpage
    211
  • Abstract
    In this paper we discuss the development of a low cost surface electromyography (sEMG) system and its efficacy as a mechanism for human-machine interfaces. By reducing the size of the surface electromyography hardware to a compact form makes its use as a wearable interface feasible. Reducing both the system cost and complexity while maintaining signal quality also moves towards a viable commercial product. In addition to the compact sEMG system a method for analysing and identifying active signals was developed that can be implemented in real time interfaces. The potential interface structure and methodology was also examined. To evaluate the compact sEMG system two different applications were developed to assess its performance.
  • Keywords
    brain-computer interfaces; electromyography; real-time systems; signal processing; wearable computers; active signal analysis; active signal identification; compact human-machine interface; compact sEMG system; low cost surface electromyography system; real time interfaces; signal quality; surface electromyography; surface electromyography hardware; wearable interface; Digital signal processing; Electromyography; Mechatronics; Muscles; Noise; Real-time systems; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
  • Conference_Location
    Wollongong, NSW
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-5319-9
  • Type

    conf

  • DOI
    10.1109/AIM.2013.6584093
  • Filename
    6584093