• DocumentCode
    472010
  • Title

    Estimation of the Center of Bodymass During Forward Stepping using Body Acceleration

  • Author

    Han, J. ; Betker, A.L. ; Szturm, T. ; Moussavi, Z.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    4564
  • Lastpage
    4567
  • Abstract
    The center of body mass (COM) calculation is a key factor in analyzing human postural control. In recent years there have been attempts to estimate the COM by body acceleration during standing. In this study, a parabolic model is used to estimate the COM trajectory during forward stepping, using the body segments´ accelerations, which were measured by inexpensive and portable accelerometers placed on the trunk and swing leg. Paced and voluntary forward stepping was performed on different support surfaces and with different speeds of stepping. Forward steps were extracted by analyzing the ankle marker position in vertical direction. The model was calibrated by genetic algorithm and tested on forward stepping data using the leave one out method. The results are encouraging for the use of the proposed model as a mean to estimate the COM trajectory during forward stepping
  • Keywords
    accelerometers; biocontrol; biomedical measurement; gait analysis; genetic algorithms; mechanoception; ankle marker position; body acceleration; center of body mass estimation; center of body mass trajectory; genetic algorithm; human postural control; leave one out method; paced forward stepping; parabolic model; portable accelerometers; stepping speeds; support surfaces; swing leg; trunk; voluntary forward stepping; Acceleration; Accelerometers; Cities and towns; Genetic algorithms; Leg; Legged locomotion; Motion estimation; Steady-state; Testing; USA Councils; accelerometer; center of body mass; forward stepping; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260458
  • Filename
    4462818