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Height Error Correction for Shoe-Mounted Inertial Sensors Exploiting Foot Dynamics.

Estefania Munoz Diaz1, Susanna Kaiser2, Dina Bousdar Ahmed3

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Summary
This summary is machine-generated.

This study introduces a novel height correction algorithm for shoe-mounted inertial sensors, improving vertical positioning accuracy by analyzing foot dynamics on different surfaces. The method significantly reduces accumulated height errors in satellite-denied navigation.

Keywords:
3Ddriftfootheighthorizontalnavigationpedestrianrampsstairs

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Area of Science:

  • * Navigation and Positioning Systems
  • * Sensor Data Fusion
  • * Biomechanics

Background:

  • * Shoe-mounted inertial sensors are crucial for positioning in satellite-denied environments.
  • * Zero-velocity corrections mitigate accumulated errors from sensor noise.
  • * Height estimation errors remain a significant challenge in inertial navigation.

Purpose of the Study:

  • * To propose and evaluate a new height correction algorithm for inertial navigation systems.
  • * To leverage foot dynamics, differentiating between horizontal and stair walking, for improved vertical accuracy.
  • * To enhance positioning performance in satellite-denied scenarios.

Main Methods:

  • * Development of a height correction algorithm based on foot movement dynamics.
  • * Implementation of algorithms to identify horizontal surfaces versus stairs during locomotion.
  • * Data collection involving 10 volunteers over 5 hours in a multi-story building.

Main Results:

  • * The proposed height correction algorithm was evaluated against ground truth data.
  • * A significant improvement in vertical positioning accuracy was observed.
  • * The correction method enhanced height accuracy by up to 85% compared to uncorrected estimates.

Conclusions:

  • * The novel foot-dynamics-based height correction effectively reduces vertical positioning errors.
  • * This approach offers a promising solution for accurate indoor and satellite-denied navigation.
  • * Further research can explore advanced biomechanical models for even greater precision.