Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units

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 t...

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Main Authors: Jatesiktat, Prayook, Anopas, Dollaporn, Ang, Wei Tech
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/137350
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1373502023-03-04T17:07:58Z Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units Jatesiktat, Prayook Anopas, Dollaporn Ang, Wei Tech School of Mechanical and Aerospace Engineering 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering::Mechanical engineering Markerless Motion Capture Technique Inertial Measurement Units 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. Accepted version 2020-03-18T05:49:37Z 2020-03-18T05:49:37Z 2018 Conference Paper 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 9781538636466 https://hdl.handle.net/10356/137350 10.1109/EMBC.2018.8513068 30440294 2-s2.0-85056667733 3284 3289 en © 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 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Markerless Motion Capture Technique
Inertial Measurement Units
spellingShingle Engineering::Mechanical engineering
Markerless Motion Capture Technique
Inertial Measurement Units
Jatesiktat, Prayook
Anopas, Dollaporn
Ang, Wei Tech
Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units
description 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.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Jatesiktat, Prayook
Anopas, Dollaporn
Ang, Wei Tech
format Conference or Workshop Item
author Jatesiktat, Prayook
Anopas, Dollaporn
Ang, Wei Tech
author_sort Jatesiktat, Prayook
title Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units
title_short Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units
title_full Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units
title_fullStr Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units
title_full_unstemmed Personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units
title_sort personalized markerless upper-body tracking with a depth camera and wrist-worn inertial measurement units
publishDate 2020
url https://hdl.handle.net/10356/137350
_version_ 1759857072733683712