Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method

Inertial measurement unit (IMU)-based joint angle estimation is an increasingly mature technique that has a broad range of applications in clinics, biomechanics and robotics. However, the deviations of different IMUs’ reference frames, referring to IMUs’ individual orientations estimating errors, is...

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Main Authors: Chunzhi Yi, Feng Jiang, Chifu Yang, Zhiyuan Chen, Zhen Ding, Jie Liu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/5/1813
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author Chunzhi Yi
Feng Jiang
Chifu Yang
Zhiyuan Chen
Zhen Ding
Jie Liu
author_facet Chunzhi Yi
Feng Jiang
Chifu Yang
Zhiyuan Chen
Zhen Ding
Jie Liu
author_sort Chunzhi Yi
collection DOAJ
description Inertial measurement unit (IMU)-based joint angle estimation is an increasingly mature technique that has a broad range of applications in clinics, biomechanics and robotics. However, the deviations of different IMUs’ reference frames, referring to IMUs’ individual orientations estimating errors, is still a challenge for improving the angle estimation accuracy due to conceptual confusion, relatively simple metrics and the lack of systematical investigation. In this paper, we clarify the determination of reference frame unification, experimentally study the time-varying characteristics of reference frames’ deviations and accordingly propose a novel method with a comprehensive metric to unify reference frames. To be specific, we firstly define the reference frame unification (RFU) and distinguish it with drift correction that has always been confused with the term RFU. Secondly, we design a mechanical gimbal-based experiment to study the deviations, where sensor-to-body alignment and rotation-caused differences of orientations are excluded. Thirdly, based on the findings of the experiment, we propose a novel method to utilize the consistency of the joint axis under the hinge-joint constraint, gravity acceleration and local magnetic field to comprehensively unify reference frames, which meets the nonlinear time-varying characteristics of the deviations. The results on ten human subjects reveal the feasibility of our proposed method and the improvement from previous methods. This work contributes to a relatively new perspective of considering and improving the accuracy of IMU-based joint angle estimation.
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spelling doaj.art-8d953b189dee4d8ba27355221fd301732023-12-03T12:40:42ZengMDPI AGSensors1424-82202021-03-01215181310.3390/s21051813Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel MethodChunzhi Yi0Feng Jiang1Chifu Yang2Zhiyuan Chen3Zhen Ding4Jie Liu5School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Computer Science, University of Nottingham Malaysia Campus, Semenyih 43500, MalaysiaSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, ChinaAI Research Institute, Harbin Institute of Technology, Shenzhen 518055, ChinaInertial measurement unit (IMU)-based joint angle estimation is an increasingly mature technique that has a broad range of applications in clinics, biomechanics and robotics. However, the deviations of different IMUs’ reference frames, referring to IMUs’ individual orientations estimating errors, is still a challenge for improving the angle estimation accuracy due to conceptual confusion, relatively simple metrics and the lack of systematical investigation. In this paper, we clarify the determination of reference frame unification, experimentally study the time-varying characteristics of reference frames’ deviations and accordingly propose a novel method with a comprehensive metric to unify reference frames. To be specific, we firstly define the reference frame unification (RFU) and distinguish it with drift correction that has always been confused with the term RFU. Secondly, we design a mechanical gimbal-based experiment to study the deviations, where sensor-to-body alignment and rotation-caused differences of orientations are excluded. Thirdly, based on the findings of the experiment, we propose a novel method to utilize the consistency of the joint axis under the hinge-joint constraint, gravity acceleration and local magnetic field to comprehensively unify reference frames, which meets the nonlinear time-varying characteristics of the deviations. The results on ten human subjects reveal the feasibility of our proposed method and the improvement from previous methods. This work contributes to a relatively new perspective of considering and improving the accuracy of IMU-based joint angle estimation.https://www.mdpi.com/1424-8220/21/5/1813inertial measurement unitjoint angle estimationreference framesdirft correction
spellingShingle Chunzhi Yi
Feng Jiang
Chifu Yang
Zhiyuan Chen
Zhen Ding
Jie Liu
Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method
Sensors
inertial measurement unit
joint angle estimation
reference frames
dirft correction
title Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method
title_full Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method
title_fullStr Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method
title_full_unstemmed Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method
title_short Reference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method
title_sort reference frame unification of imu based joint angle estimation the experimental investigation and a novel method
topic inertial measurement unit
joint angle estimation
reference frames
dirft correction
url https://www.mdpi.com/1424-8220/21/5/1813
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AT fengjiang referenceframeunificationofimubasedjointangleestimationtheexperimentalinvestigationandanovelmethod
AT chifuyang referenceframeunificationofimubasedjointangleestimationtheexperimentalinvestigationandanovelmethod
AT zhiyuanchen referenceframeunificationofimubasedjointangleestimationtheexperimentalinvestigationandanovelmethod
AT zhending referenceframeunificationofimubasedjointangleestimationtheexperimentalinvestigationandanovelmethod
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