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Personalized Markerless Upper-Body Tracking with a Depth Camera and Wrist-Worn Inertial Measurement Units

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  • Additional Information
    • Contributors:
      School of Mechanical and Aerospace Engineering; 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    • Publication Information:
      IEEE, 2018.
    • Publication Date:
      2018
    • Abstract:
      A markerless motion capture technique is proposed based on a fusion between a depth camera (Kinect V2) and a pair of wrist-worn inertial measurement units (IMU). The method creates a personalized articulated human mesh model from one depth image frame and uses that model to improve the accuracy of the upper-body joint tracking. The IMUs are useful as an additional clue for the arm tracking, especially during an occlusion. An evaluation of the method against a marker-based system as a gold standard using data from 6 subjects is done. The result shows over 20% reduction in upper-limb joint position errors when compared to Kinect's skeleton tracking. All the collected data are calibrated, synchronized, and made publicly available for research purposes.
    • File Description:
      application/pdf
    • Accession Number:
      10.1109/embc.2018.8513068
    • Accession Number:
      edsair.doi.dedup.....eb4311db03a8f28fff1385193e50b6cf