• DocumentCode
    2723062
  • Title

    Hand force estimation using fast orthogonal search

  • Author

    Eklund, J. Mikael ; Mobasser, Farid ; Hashtrudi-Zaad, K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    695
  • Lastpage
    698
  • Abstract
    The use of the fast orthogonal search (FOS) method is presented for the estimation of human hand force based on electromyogram (EMG) signal readings and sensed elbow angular position. The use of inexpensive and easily portable EMG electrodes and position sensors would be advantageous in many applications compared to the use of force sensors which are often very expensive and require bulky frames to be used. A single degree-of-freedom robotic experimental testbed has been constructed which allows for data collection, model identification and validation of EMG-force models. FOS identifies the models extremely rapidly with similar or better accuracy compared to existing methods.
  • Keywords
    biomechanics; biomedical electrodes; electromyography; force measurement; force sensors; EMG electrodes; electromyogram; fast orthogonal search; hand force estimation; sensed elbow angular position; single degree-of-freedom robotic experimental testbed; Elbow; Electrodes; Electromyography; Force measurement; Force sensors; Muscles; Robot sensing systems; Signal processing; Testing; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403253
  • Filename
    1403253