TY  - CONF
ID  - SisLab3215
UR  - https://ieeexplore.ieee.org/document/8533809
A1  - Ta, Viet Cuong
A1  - Dao, Trung Kien
A1  - Vaufreydaz, Dominique
A1  - Castelli, Eric
Y1  - 2018/09/24/
N2  - In a multi-user 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 multi-user 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.
TI  - Smartphone-based user positioning in a multiple-user context with Wi-Fi and Bluetooth
SP  - 206
M2  - Nantes, France
AV  - none
EP  - 212
T2  - 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
ER  -