• DocumentCode
    3018733
  • Title

    Walking speed estimation using shank-mounted accelerometers

  • Author

    Bishop, E. ; Li, Q.

  • Author_Institution
    Dept. of Mech. & Manuf. Eng., Univ. of Calgary, Calgary, AB, Canada
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    5096
  • Lastpage
    5101
  • Abstract
    We studied the feasibility of estimating walking speed using two shank-mounted accelerometers. Our approach took advantage of the inverted pendulum-like behavior of the stance leg during walking to identify a new method for dividing up walking into individual stride cycles and estimating the initial conditions for the direct integration of the accelerometer signals. To test its accuracy, we compared speed to known values during treadmill walking. The speed estimation method worked well across treadmill speeds yielding a root mean square speed estimation error of only 8%. This accuracy is comparable to that achieved from shank-mounted inertial measurement unit, providing a robust and low-cost alternative in using accelerometer for walking speed estimation. Shank-mounted accelerometer may be of great benefit for estimating speed in walking for the embedded control of knee-mounted devices such as prostheses and energy harvesters.
  • Keywords
    accelerometers; biomedical equipment; biomedical measurement; gait analysis; prosthetics; accelerometer signals; energy harvesters; individual stride cycles; inverted pendulum-like property; knee-mounted devices; low-cost alternative; prostheses; root mean square speed estimation error; shank-mounted accelerometers; speed estimation method; stance leg; treadmill walking; walking speed estimation; Accelerometers; Estimation error; Leg; Legged locomotion; Measurement units; Robustness; Root mean square; Signal processing; Testing; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509504
  • Filename
    5509504