• DocumentCode
    669549
  • Title

    A study on a waist power assist suit for a caregiver to prevent lower back pain

  • Author

    Ikeya, Yoshitoshi ; Nakakuki, Takashi

  • Author_Institution
    Mech. Eng., Kogakuin Univ., Tokyo, Japan
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    1455
  • Lastpage
    1458
  • Abstract
    We currently develop a waist power assist suit for a caregiver that physically supports his/her lifting and twist motions to prevent lower back pain. In our earlier studies, a DC motor-driven mechanism has been proposed where two motors that are attached at both sides of lower back generate the assistive torque for a lifting motion by driving them in the same direction, and for a twist motion by driving them in different directions. In this paper, we address to reduce the suit weight, refine the design, and to improve how to put on the suit. Regarding a signal processing for motion recognition, we also have studied a surface EMG-based signal processing with support vector machine. Although the recognition rate with the sensing system is promising off-line, the algorithm is quite complicated for implementation to a microcomputer. In this paper, we propose a simple signal processing for motion recognition based on surface EMG.
  • Keywords
    DC motors; assisted living; control engineering computing; electromyography; medical control systems; motion control; support vector machines; DC motor-driven mechanism; assistive torque; caregiver; lifting motions; lower back pain; motion recognition; signal processing; suit weight; support vector machine; surface EMG-based signal processing; twist motions; waist power assist suit; Digital signal processing; Electromyography; Pain; mechanism design; power assist suit; signal processing; surface EMG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2013 13th International Conference on
  • Conference_Location
    Gwangju
  • ISSN
    2093-7121
  • Print_ISBN
    978-89-93215-05-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2013.6704115
  • Filename
    6704115