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Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
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A Pedestrian Dead Reckoning Method for Head-Mounted Sensors.

Xinyu Hou1, Jeroen Bergmann1

  • 1Natural Interactions Lab, Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX1 2JD, UK.

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Summary

A new pedestrian dead reckoning (PDR) method uses head-mounted sensors for accurate indoor navigation. This approach offers a viable alternative to foot-mounted sensors, improving location tracking without Global Positioning System (GPS).

Keywords:
inertial measurement unitnavigationsmart glassesvirtual realitywearable sensors

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Area of Science:

  • Wearable technology
  • Robotics
  • Human-computer interaction

Background:

  • Pedestrian dead reckoning (PDR) is crucial for navigation when Global Positioning System (GPS) is unavailable.
  • Traditional PDR methods often rely on foot-mounted sensors.
  • Head-mounted sensors offer potential advantages due to natural head stabilization during movement.

Discussion:

  • This study introduces a novel PDR algorithm specifically designed for head-mounted sensors.
  • The method was tested using data from sensors integrated into glasses and mouthguards.
  • Comparison with established PDR techniques highlights the advantages of the new approach.

Key Insights:

  • The proposed head-mounted PDR method significantly outperforms existing techniques in accuracy.
  • Achieved an average end-to-end error of 0.88 meters.
  • Demonstrated a total distance error of only 2.10%.

Outlook:

  • Future research could explore integration with other sensor modalities for enhanced robustness.
  • Potential applications include sports analytics, emergency response, and smart home environments.
  • The growing prevalence of head-mounted wearable devices makes this research highly relevant.