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Collaborative Smartphone-Based User Positioning in a Multiple-User Context Using Wireless Technologies.

Viet-Cuong Ta1, Trung-Kien Dao2, Dominique Vaufreydaz3

  • 1Human Machine Interaction, University of Engineering and Technology, Vietnam National University, 100000 Hanoi, Vietnam.

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Summary
This summary is machine-generated.

Combining Wi-Fi and Bluetooth signals enhances indoor user localization accuracy. New non-temporal and temporal methods improve tracking performance by over 40% in complex environments.

Keywords:
indoor localizationindoor navigationmulti-sensor fusionmultiple-user positioning

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Area of Science:

  • * Ubiquitous Computing
  • * Wireless Sensor Networks
  • * Indoor Localization

Background:

  • * Wi-Fi and Bluetooth are common technologies for indoor positioning.
  • * Both technologies suffer from signal noise and propagation uncertainties in complex environments.
  • * Accurate multi-user localization is crucial for various applications.

Purpose of the Study:

  • * To propose and evaluate novel collaborative positioning approaches combining Wi-Fi and Bluetooth data.
  • * To improve the accuracy and robustness of indoor tracking for multiple users.
  • * To address the inherent noise and uncertainties in radio-based positioning methods.

Main Methods:

  • * Developed two collaborative positioning approaches: Non-temporal and Temporal.
  • * Non-temporal approach: Minimizes an error observation function within specific Wi-Fi and Bluetooth output intervals.
  • * Temporal approach: Utilizes an extended error model incorporating the time component of user movements.

Main Results:

  • * Implemented and evaluated proposed methods in various multi-user indoor scenarios.
  • * Achieved significant improvements in localization accuracy, exceeding 40% in certain scenarios.
  • * Demonstrated the effectiveness of combining Wi-Fi and Bluetooth for enhanced tracking.

Conclusions:

  • * The proposed Non-temporal and Temporal collaborative positioning methods effectively enhance indoor localization accuracy.
  • * Combining Wi-Fi and Bluetooth data offers a robust solution for multi-user tracking in challenging environments.
  • * These advancements have the potential to improve the performance of location-aware services.