Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137350
Title: Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units
Authors: Jatesiktat, Prayook
Anopas, Dollaporn
Ang, Wei Tech
Keywords: Engineering::Mechanical engineering
Issue Date: 2018
Source: Jatesiktat, P., Anopas, D., & Ang, W. T. (2018). Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units. Proceedings of 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 3284-3289. doi:10.1109/embc.2018.8513068
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.
URI: https://hdl.handle.net/10356/137350
ISBN: 9781538636466
DOI: 10.1109/EMBC.2018.8513068
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/EMBC.2018.8513068
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Conference Papers

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