research-article

Real-Time Joint Axes Estimation of the Hip and Knee Joint during Gait using Inertial Sensors

Authors:

Markus Norden,

Philipp Müller,

Thomas SchauerAuthors Info & Claims

iWOAR '18: Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction

Article No.: 9, Pages 1 - 6

https://doi.org/10.1145/3266157.3266213

Published: 20 September 2018 Publication History

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Abstract

Inertial Measurement Units (IMUs) have proven to be a promising candidate for joint kinematics assessment during human locomotion. The benefits associated with IMU-based joint angle measurements are ease of handling, flexibility and low cost. However, a known limitation is that the joint axes in terms of the attached IMUs need to be identified in order to decompose IMU measurements into joint angles. Conventionally, careful alignment of the IMUs with respect to the body segments and/or calibration motions are required. In this paper, a novel approach is proposed to estimate the joint axes of the hip and knee joint during gait. Our method is easy to use, self-calibrating and real-time capable using the obtained IMU data during gait. In addition to prior methods, the algorithm profits from the periodicity during gait in order to deal with three (rotational) degrees of freedom (3-DoF) motions. Experiments with 8 healthy subjects walking on a motor-driven treadmill have been conducted. The joint axes converged onto the expected axes in all trials and the convergence times averaged less than 15 seconds.

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Cited By

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Laidig DWeygers ISeel T(2022)Self-Calibrating Magnetometer-Free Inertial Motion Tracking of 2-DoF JointsSensors10.3390/s2224985022:24(9850)Online publication date: 15-Dec-2022
https://doi.org/10.3390/s22249850
Weygers IKok MSeel TShah DTaylan OScheys LHallez HClaeys K(2021)Reference in-vitro dataset for inertial-sensor-to-bone alignment applied to the tibiofemoral jointScientific Data10.1038/s41597-021-00995-88:1Online publication date: 5-Aug-2021
https://doi.org/10.1038/s41597-021-00995-8
Weygers IKok MDe Vroey HVerbeerst TVersteyhe MHallez HClaeys K(2020)Drift-Free Inertial Sensor-Based Joint Kinematics for Long-Term Arbitrary MovementsIEEE Sensors Journal10.1109/JSEN.2020.298245920:14(7969-7979)Online publication date: 15-Jul-2020
https://doi.org/10.1109/JSEN.2020.2982459

Index Terms

Real-Time Joint Axes Estimation of the Hip and Knee Joint during Gait using Inertial Sensors
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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Published In

iWOAR '18: Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction

September 2018

148 pages

ISBN:9781450364874

DOI:10.1145/3266157

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Fraunhofer IGD: Fraunhofer Institute for Computer Graphics Research IGD
Rostock: University of Rostock

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2018

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iWOAR '18

iWOAR '18: 5th international Workshop on Sensor-based Activity Recognition and Interaction

September 20 - 21, 2018

Berlin, Germany

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Overall Acceptance Rate 46 of 73 submissions, 63%

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Cited By

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Laidig DWeygers ISeel T(2022)Self-Calibrating Magnetometer-Free Inertial Motion Tracking of 2-DoF JointsSensors10.3390/s2224985022:24(9850)Online publication date: 15-Dec-2022
https://doi.org/10.3390/s22249850
Weygers IKok MSeel TShah DTaylan OScheys LHallez HClaeys K(2021)Reference in-vitro dataset for inertial-sensor-to-bone alignment applied to the tibiofemoral jointScientific Data10.1038/s41597-021-00995-88:1Online publication date: 5-Aug-2021
https://doi.org/10.1038/s41597-021-00995-8
Weygers IKok MDe Vroey HVerbeerst TVersteyhe MHallez HClaeys K(2020)Drift-Free Inertial Sensor-Based Joint Kinematics for Long-Term Arbitrary MovementsIEEE Sensors Journal10.1109/JSEN.2020.298245920:14(7969-7979)Online publication date: 15-Jul-2020
https://doi.org/10.1109/JSEN.2020.2982459

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