• DocumentCode
    3723810
  • Title

    Investigating running gait using a shoe-integrated wireless inertial sensor

  • Author

    Di-Kiat Chew;Darwin Gouwanda;Alpha. A. Gopalai

  • Author_Institution
    School of Engineering, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Inertial sensor have been widely used to analyze human walking, but only few studies used inertial sensor to analyze running gait. This paper presented the use of inertial sensor to identify running gait phases and to estimate running speed. An experimental study were conducted to validate the feasibility of this approach. In this experiment, sensor were positioned on top of the third metatarsal of the foot. Subjects were requested to run at 8 km/h - 11 km/h. Raw acceleration and angular velocity were recorded. An off-phase segmentation was then employed to segment the running sequence into individual stride. The orientation of the foot was determined through integration and the running speed was estimated by integrating the acceleration data. The results were satisfactory. The root mean square error (RMSE) were found to be ranging between 4.54% and 5.59% for all the estimated running speed.
  • Keywords
    "Foot","Biomechanics","Motion segmentation","Facsimile"
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2015 - 2015 IEEE Region 10 Conference
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-8639-2
  • Electronic_ISBN
    2159-3450
  • Type

    conf

  • DOI
    10.1109/TENCON.2015.7373054
  • Filename
    7373054