• DocumentCode
    138408
  • Title

    Pedalvatar: An IMU-based real-time body motion capture system using foot rooted kinematic model

  • Author

    Yang Zheng ; Ka-Chun Chan ; Wang, Charlie C. L.

  • Author_Institution
    Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    4130
  • Lastpage
    4135
  • Abstract
    In this paper, we present a low-cost IMU-based system, Pedalvatar, which can capture the full-body motion of users in real-time. Unlike the prior approaches using the hip-joint as the root of forward kinematic model, a foot-rooted kinematic model is developed in this work. A state change mechanism has also been investigated to allow dynamically switching the root of kinematic trees between the left and the right foot. Benefitted from this, full-body motions can be well captured in our system as long as there is at least one static foot in the movement. The `floating´ artifact of hip-joint rooted methods has been eliminated in our approach, and more complicated motions such as climbing stairs can be successfully captured in real-time. Comparing to those vision-based systems, this IMU-based system provides more flexibility on capturing outdoor motions that are important for many robotic applications.
  • Keywords
    image motion analysis; robot dynamics; robot kinematics; robot vision; Pedalvatar; climbing stairs; floating artifact; foot rooted kinematic model; forward kinematic model; full-body motions; hip-joint rooted methods; kinematic trees; low cost IMU-based real-time body motion capture system; robotic applications; state change mechanism; vision-based systems; Foot; Kinematics; Legged locomotion; Real-time systems; Sensor systems; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/IROS.2014.6943144
  • Filename
    6943144