• DocumentCode
    1754589
  • Title

    3-D Localization of Human Based on an Inertial Capture System

  • Author

    Qilong Yuan ; I-Ming Chen

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    29
  • Issue
    3
  • fYear
    2013
  • fDate
    41426
  • Firstpage
    806
  • Lastpage
    812
  • Abstract
    This paper introduces a method to track the spatial location and movement of a human using wearable inertia sensors without additional external global positioning devices. Starting from the lower limb kinematics of a human, the method uses multiple wearable inertia sensors to determine the orientation of the body segments and lower limb joint motions. At the same time, based on human kinematics and locomotion phase detection, the spatial position and the trajectory of a reference point on the body can be determined. An experimental study has shown that the position error can be controlled within 1-2% of the total distance in both indoor and outdoor environments. The system is capable of localization on irregular terrains (like uphill/downhill). From the localization results, the ground shape and the height information that can be recovered after localization experiments are conducted. A benchmark study on the accuracy of this method was carried out using the camera-based motion analysis system to study the validity of the system. The localization data that are obtained from the proposed method match well with those from the commercial system. Since the sensors can be worn on the human at any time and any place, this method has no restriction to indoor and outdoor applications.
  • Keywords
    cameras; gait analysis; humanoid robots; image motion analysis; indoor environment; inertial navigation; path planning; robot kinematics; robot vision; sensors; 3D human localization; body segment orientation; camera-based motion analysis system; global positioning devices; ground shape; height information; indoor applications; indoor environments; inertial capture system; localization experiments; locomotion phase detection; lower limb joint motions; lower limb kinematics; outdoor applications; outdoor environments; position error; spatial location tracking; wearable inertia sensors; Calibration; Foot; Humans; Joints; Legged locomotion; Sensors; Trajectory; Human performance augmentation; humanoid robots; personal localization;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2013.2248535
  • Filename
    6477156