Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices
Channel: A-WEAR
Date: 2020-12-17

Indoor positioning and localization are widely used in multiple environments, due to the wide range of services it can provide by leveraging Internet of Things (IoT), and ubiquitous connectivity. Thus, the article presented at ICUMT 2020 workshop implements a new post-processing method to improve DBSCAN for indoor positioning using Wi-Fi radio maps. This small improvement is in pro of reducing the computational load in low profile devices (IoT and wearables devices), and it will be part of a new reliable, accurate, scalable and open-source indoor positioning platform.

For more details: http://doi.org/10.1109/ICUMT51630.2020.9222411
Zenodo: http://zenodo.org/record/4095163

This project has received funding from the European Union’s Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018 call, under the Grant Agreement no 813278.

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