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Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review.

Chang June Lee1, Jung Keun Lee2

  • 1Department of Mechanical Engineering, Hankyong National University, Anseong 17579, Korea.

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|April 12, 2022
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Summary

Inertial motion capture (IMC) systems offer a wearable alternative for joint kinetic analysis. This review explores IMC methodologies, finding both inverse dynamics and machine learning approaches perform well for joint kinetics.

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Wearable Technology

Background:

  • Joint kinetics is crucial for assessing mechanical joint load and motor function in biomechanics.
  • Optical motion capture (OMC) systems, often paired with force plates, have traditionally dominated joint kinetics analysis.
  • Inertial motion capture (IMC) systems are emerging due to their wearability and ubiquitous measurement capabilities.

Purpose of the Study:

  • To systematically review and explore the methodologies used in current studies for estimating joint kinetic variables via IMC systems.
  • To provide a comprehensive overview of the existing literature on IMC-based joint kinetic analysis.

Main Methods:

  • A systematic literature search was conducted to identify relevant studies.
  • 48 studies were selected for detailed analysis.
  • The review categorizes estimation methods into inverse dynamics-based and machine learning-based approaches.

Main Results:

  • The selected studies were summarized based on characteristics, methodologies, and results.
  • Both inverse dynamics-based and machine learning-based methods were identified as key approaches for IMC-based joint kinetics.
  • The literature demonstrates that both methods can achieve good performance in joint kinetic analysis across various daily activities.

Conclusions:

  • IMC systems represent a viable and increasingly utilized technology for joint kinetic analysis.
  • Both inverse dynamics and machine learning offer effective strategies for estimating joint kinetics using IMC data.
  • Further exploration of IMC methodologies can advance the understanding of joint mechanics in real-world settings.