• DocumentCode
    2313971
  • Title

    Estimation of Center of Mass Displacement Based on Gait Analysis

  • Author

    Meng, Xiaoli ; Sun, Shuyan ; Ji, Lianying ; Wu, Jiankang ; Wong, Wai-Choong

  • Author_Institution
    Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    This paper proposes an ambulatory algorithm to estimate Center of Mass (CoM) displacement of the subjects for Micro-sensor Motion Capture (MMoCap) system. Estimation of the CoM displacement is based on gait analysis and segmental kinematics. In our MMoCap system, the human body is modeled as a kinematic chain of rigid segments linked by joints, and the pelvis is considered as the root joint in the model. Each joint´s relative positions are obtained from hierarchical transformations. The CoM displacement is imported into the root joint of a human skeleton model to track human locomotion with reference to the global coordinate system. Performance of the algorithm is evaluated using simulated sensor data obtained from an optical motion capture database and also by our ambulatory MMoCap system. The experimental results show robust and continuous tracking of CoM movements while a subject is walking.
  • Keywords
    bioMEMS; gait analysis; kinematics; microsensors; physiological models; ambulatory algorithm; center of mass displacement; continuous tracking; gait analysis; global coordinate system; hierarchical transformations; human skeleton model; kinematic chain; microsensor motion capture system; optical motion capture database; pelvis; segmental kinematics; simulated sensor data; walking; Acceleration; Estimation; Foot; Humans; Joints; Leg; Legged locomotion; Center of Mass; displacement estimation; gait analysis; human locomotion; micro-sensor motion capture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Body Sensor Networks (BSN), 2011 International Conference on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    978-1-4577-0469-7
  • Electronic_ISBN
    978-0-7695-4431-1
  • Type

    conf

  • DOI
    10.1109/BSN.2011.32
  • Filename
    5955314