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Updated: Dec 29, 2025

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

Inertial Sensor-Based Lower Limb Joint Kinematics: A Methodological Systematic Review.

Ive Weygers¹, Manon Kok², Marco Konings¹

¹KU Leuven Campus Bruges, Department of Rehabilitation Sciences, 8200 Bruges, Belgium.

Sensors (Basel, Switzerland)

|January 30, 2020

Summary

Inertial measurement units (IMUs) show promise for estimating lower limb movement but require careful application in clinical settings. Further research is needed for reliable clinical use of IMU-based joint kinematics.

Keywords:

inertial measurement unit lower quadrant movement analysis outside laboratory sensor fusion

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Published on: April 15, 2020

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Last Updated: Dec 29, 2025

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

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Published on: May 26, 2020

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Lower Limb Biomechanical Analysis of Healthy Participants

Lower Limb Biomechanical Analysis of Healthy Participants

Published on: April 15, 2020

Area of Science:

Biomechanics
Rehabilitation Engineering
Medical Instrumentation

Background:

Inertial measurement units (IMUs) are increasingly used for lower limb kinematics estimation.
Clinical implementation of IMU-based lower limb kinematic analysis remains limited.
Methodological requirements for clinical applicability are not yet well-defined.

Purpose of the Study:

To evaluate methodological requirements for IMU-based joint kinematic estimation in clinical settings.
To identify future research directions for advancing IMU applications in clinical lower limb analysis.

Main Methods:

Systematic literature review of studies using IMUs for lower limb kinematics.
Inclusion criteria: methodological description, IMU data acquisition, validation against a gold standard.
Assessment of study characteristics, signal processing, and results.

Main Results:

IMU-based lower limb kinematic methods are application-dependent.
Sensor limitations are often addressed using biomechanical assumptions and prior information.
Clinical decisions require awareness of how these assumptions influence kinematic estimates.

Conclusions:

Careful consideration of application-specific methods and assumptions is crucial for clinical IMU use.
Future research should explore novel validation techniques, subject-specific models, and real-world movement analysis.
Advancing IMU technology requires focus on robust validation and adaptable biomechanical modeling for clinical translation.