• DocumentCode
    141481
  • Title

    A study on estimation of planar gait kinematics using minimal inertial measurement units and inverse kinematics

  • Author

    Xinyao Hu ; Gim Song Soh

  • Author_Institution
    Eng. Product Dev., Singapore Univ. of Technol. & Design, Singapore, Singapore
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    6911
  • Lastpage
    6914
  • Abstract
    This paper describes a preliminary study of using four inertial measurement units (IMUs) attached to the heel and pelvis to estimate the joint angles of normal subjects during walking. The IMU, consisting of a 3-D accelerometer and gyroscope, is used to estimate the planar displacement of the heel and pelvis and the angular change of heel in one gait cycle. We then model the gait as a planar 3R serial chain and solve its inverse kinematics by using such information. The results are validated by comparing the estimated joint angles of lower limbs (i.e. hip, knee and ankle angles) with an optical motion capture system. This study can benefit the future research on conducting complete lower limbs kinematics analysis with minimal and unobtrusive wearable sensors.
  • Keywords
    accelerometers; biomedical measurement; body sensor networks; gait analysis; gyroscopes; image sensors; inertial systems; inverse problems; kinematics; 3-D accelerometer; IMU; complete lower limb kinematic analysis; gait cycle; gyroscope; heel angular change; inverse kinematics; joint angles; lower limbs; minimal inertial measurement units; normal subjects; optical motion capture system; pelvis; planar 3R serial chain; planar displacement; planar gait kinematic estimation; unobtrusive wearable sensors; walking; Estimation; Foot; Hip; Joints; Kinematics; Knee; Legged locomotion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6945217
  • Filename
    6945217