• DocumentCode
    3068682
  • Title

    Investigation of walking motion with the aid of walker using accelerometers

  • Author

    Okamoto, Satoru ; Hirotomi, Tetsuya

  • Author_Institution
    Dept. of Math. & Comput. Sci., Shimane Univ., Matsue, Japan
  • fYear
    2012
  • fDate
    1-4 July 2012
  • Firstpage
    74
  • Lastpage
    79
  • Abstract
    Walkers are tools that are used to improve self-reliance when walking. In this study, unstable motions of the gait in persons using walkers were analyzed using tri-axial accelerometers and a motion capture system. Several markers were placed on subjects´ backs and legs and two high-speed video cameras were employed to record the motion of the markers. The subjects were asked to walk around a test course at a comfortable speed. Activities performed on the test course comprised of standing, normal walking, fast walking, walking over a barrier, and falling down. We showed some results on the characteristic rules of the gait motion by using the walker. It was also observed that acceleration sensors are more convenient than the motion capture system for extracting characteristics from some data. The methods employing acceleration sensors are believed to be suitable for the discovery of the average gait motions of elderly persons living in nursing homes, and can be used to evaluate walking motion before and after rehabilitation.
  • Keywords
    accelerometers; biomedical measurement; gait analysis; handicapped aids; acceleration sensors; fast walking; high speed video cameras; motion capture system; normal walking; standing; triaxial accelerometers; unstable gait motions; walker aid; walking motion; walking self reliance; Acceleration; Hip; Acceleration sensor; Before and after rehabilitation; Elderly persons; Unstable motion analysis; Walker;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering (CME), 2012 ICME International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-1617-0
  • Type

    conf

  • DOI
    10.1109/ICCME.2012.6275611
  • Filename
    6275611