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An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
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IMU/UWB Fusion Method Using a Complementary Filter and a Kalman Filter for Hybrid Upper Limb Motion Estimation.

Yutong Shi1, Yongbo Zhang1,2, Zhonghan Li1

  • 1School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
Summary

This study introduces a novel hybrid motion tracking system using low-cost wearable sensors. The fusion of inertial measurement unit (IMU) and ultrawideband (UWB) data significantly improves upper limb motion tracking accuracy.

Keywords:
Kalman filterMadgwick orientation filterinertial measurement unit (IMU)motion estimationultrawideband (UWB)

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Area of Science:

  • Human-Computer Interaction
  • Aerospace Engineering
  • Robotics
  • Biomechanics

Background:

  • Optical motion capture systems are costly and sensitive to lighting.
  • Inertial Measurement Unit (IMU) sensors suffer from drift.
  • Existing systems face limitations in cost, environmental sensitivity, and accuracy.

Purpose of the Study:

  • To develop a hybrid, low-cost motion tracking system for upper limb movements.
  • To fuse data from IMU and Ultrawideband (UWB) sensors for enhanced accuracy.
  • To overcome the limitations of existing motion capture technologies in aerospace applications.

Main Methods:

  • Proposed a novel algorithm combining the fourth-order Runge-Kutta (RK4) Madgwick complementary orientation filter and a Kalman filter.
  • Utilized data fusion from an Inertial Measurement Unit (IMU) and an Ultrawideband (UWB) system.
  • Employed Madgwick RK4 filter to compensate gyroscope drift and a Kalman filter to fuse UWB measurements for drift reduction.

Main Results:

  • The proposed IMU/UWB fusion method demonstrated an average decrease in Root Mean Square Error (RMSE) of 1.2 cm compared to IMU-only methods.
  • Achieved drift-free position estimation using UWB localization Kalman filter fused with IMU-calculated position.
  • Experimental results confirmed high feasibility and stability for accurate human upper limb motion tracking.

Conclusions:

  • The hybrid IMU/UWB motion tracking system offers a cost-effective and accurate solution for upper limb movement analysis.
  • The proposed data fusion algorithm effectively mitigates sensor drift and enhances tracking precision.
  • This technology holds significant potential for applications in human-computer interaction within the aerospace field and beyond.