Smartphone-based user positioning in a multiple-user context with Wi-Fi and Bluetooth

Viet-Cuong Ta 1 Trung-Kien Dao 2 Dominique Vaufreydaz 3 Eric Castelli 3
3 PERVASIVE - Interaction située avec les objets et environnements intelligents
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, UGA - Université Grenoble Alpes
Abstract : In a multiuser context, the Bluetooth data from the smartphone could give an approximation of the distance between users. Meanwhile, the Wi-Fi data can be used to calculate the user's position directly. However, both the Wi-Fi-based position outputs and Bluetooth-based distances are affected by some degree of noise. In our work, we propose several approaches to combine the two types of outputs for improving the tracking accuracy in the context of collaborative positioning. The two proposed approaches attempt to build a model for measuring the errors of the Bluetooth output and Wi-Fi output. In a non-temporal approach, the model establishes the relationship in a specific interval of the Bluetooth output and Wi-Fi output. In a temporal approach, the error measurement model is expanded to include the time component between users' movement. To evaluate the performance of the two approaches, we collected the data from several multiuser scenarios in indoor environment. The results show that the proposed approaches could reach a distance error around 3.0m for 75 percent of time, which outperforms the positioning results of the standard Wi-Fi fingerprinting model.
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Submitted on : Sunday, July 15, 2018 - 4:15:54 PM
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  • HAL Id : hal-01839574, version 1
  • ARXIV : 1807.05716

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Viet-Cuong Ta, Trung-Kien Dao, Dominique Vaufreydaz, Eric Castelli. Smartphone-based user positioning in a multiple-user context with Wi-Fi and Bluetooth. IPIN 2018 - 9th International Conference on Indoor Positioning and Indoor Navigation, Sep 2018, Nantes, France. pp.1-13. ⟨hal-01839574⟩

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