A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking
In 3D motion capture, multiple methods have been developed in order to optimize thequality of the captured data. While certain technologies, such as inertial measurement units (IMU),are mostly suitable for 3D orientation estimation at relatively high frequencies, other technologies,such as marker-ba...
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sg-ntu-dr.10356-1458682023-03-04T17:24:54Z A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking Phan, Gia-Hoang Hansen, Clint Tommasino, Paolo Hussain, Asif Formica, Domenico Campolo, Domenico School of Mechanical and Aerospace Engineering Robotics Research Centre Engineering::Mechanical engineering Complementary Filter Inertia-measurement Unit In 3D motion capture, multiple methods have been developed in order to optimize thequality of the captured data. While certain technologies, such as inertial measurement units (IMU),are mostly suitable for 3D orientation estimation at relatively high frequencies, other technologies,such as marker-based motion capture, are more suitable for 3D position estimations at a lower frequencyrange. In this work, we introduce a complementary filter that complements 3D motion capture datawith high-frequency acceleration signals from an IMU. While the local optimization reduces the error ofthe motion tracking, the additional accelerations can help to detect micro-motions that are useful whendealing with high-frequency human motions or robotic applications. The combination of high-frequencyaccelerometers improves the accuracy of the data and helps to overcome limitations in motion capturewhen micro-motions are not traceable with 3D motion tracking system. In our experimental evaluation,we demonstrate the improvements of the motion capture results during translational, rotational,and combined movements. Ministry of Education (MOE) Published version The work was supported by the Tier 1 project (RG 48/17), MOE, Singapore. This research is funded by Ho Chi Minh City University of Technology (HCMUT), VNUHCM under grant number HCMUT-003967-2020. We acknowledge financial support by DFG within the funding programme Open Access Publizieren. 2021-01-13T02:14:46Z 2021-01-13T02:14:46Z 2020 Journal Article Phan, G.-H., Hansen, C., Tommasino, P., Hussain, A., Formica, D., & Campolo, D. (2020). A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking. Sensors, 20(20), 5864-. doi:10.3390/s20205864 1424-8220 https://hdl.handle.net/10356/145868 10.3390/s20205864 33081321 2-s2.0-85092660776 20 20 en RG 48/17 Sensors © 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). application/pdf |
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Engineering::Mechanical engineering Complementary Filter Inertia-measurement Unit Phan, Gia-Hoang Hansen, Clint Tommasino, Paolo Hussain, Asif Formica, Domenico Campolo, Domenico A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking |
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In 3D motion capture, multiple methods have been developed in order to optimize thequality of the captured data. While certain technologies, such as inertial measurement units (IMU),are mostly suitable for 3D orientation estimation at relatively high frequencies, other technologies,such as marker-based motion capture, are more suitable for 3D position estimations at a lower frequencyrange. In this work, we introduce a complementary filter that complements 3D motion capture datawith high-frequency acceleration signals from an IMU. While the local optimization reduces the error ofthe motion tracking, the additional accelerations can help to detect micro-motions that are useful whendealing with high-frequency human motions or robotic applications. The combination of high-frequencyaccelerometers improves the accuracy of the data and helps to overcome limitations in motion capturewhen micro-motions are not traceable with 3D motion tracking system. In our experimental evaluation,we demonstrate the improvements of the motion capture results during translational, rotational,and combined movements. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Phan, Gia-Hoang Hansen, Clint Tommasino, Paolo Hussain, Asif Formica, Domenico Campolo, Domenico |
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Article |
author |
Phan, Gia-Hoang Hansen, Clint Tommasino, Paolo Hussain, Asif Formica, Domenico Campolo, Domenico |
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Phan, Gia-Hoang |
title |
A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking |
title_short |
A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking |
title_full |
A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking |
title_fullStr |
A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking |
title_full_unstemmed |
A complementary filter design on SE(3) to identify micro-motions during 3D motion tracking |
title_sort |
complementary filter design on se(3) to identify micro-motions during 3d motion tracking |
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2021 |
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https://hdl.handle.net/10356/145868 |
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1759855731839860736 |