Published October 15, 2020 | Version 1.0
Software Open

Supplementary Materials for "Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices"

  • 1. Universitat Jaume I and Tampere University
  • 2. Tampere University and Universitat Jaume I
  • 3. Universitat Jaume I and UBIK Geospatial Solutions S.L.
  • 4. Tampere University and Universitat Autonoma de Barcelona
  • 5. Tampere University
  • 6. Universitat Jaume I

Description

This package contains all the functions used to run the experiments in the paper cited below. Please, if you want to use this software, don't forget to cite the source.

* Quezada-Gaibor, D., Klus, L., Torres-Sospedra, J., Lohan, E. S., Nurmi, J. and Huerta, J., 2020, October. Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices, In 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (pp. 208-213). IEEE. https://doi.org/10.1109/ICUMT51630.2020.9222411

* Quezada-Gaibor, D., Klus, L., Torres-Sospedra, J., Lohan, E. S., Nurmi, J. and Huerta, J., 2020, October. Supplementary Materials for "Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices", Zenodo, [Available Online] https://zenodo.org/record/3983634

If you would like to run the experiments, please follow the instructions in the README file.

Note: This package is based on the material provided by Torres-Sospedra et al. (https://zenodo.org/record/3751042)
* Torres-Sospedra, J.; Quezada-Gaibor, D.; Mendoza-Silva, G. M.; Nurmi, J.; Koucheryavy, Y. and Huerta, J. "New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting". In Proceedings of the Tenth International Conference on Localization and GNSS (ICL-GNSS), 2020.

If you would like to re-use the databases included in this paper, please cite the corresponding sources as indicated in the readme file in the folder 'databases'.

Don't hesitate to contact me if you have any questions (quezada@uji.es, darwinqg1@hotmail.com)

Files

zenodo_3983634.zip

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Additional details

Funding

A-WEAR – A network for dynamic WEarable Applications with pRivacy constraints 813278
European Commission

References

  • Joaquín Torres-Sospedra, Darwin Quezada-Gaibor, Germán Mendoza-Silva, Jari Nurmi, Yevgeny Koucheryavy, & Joaquín Huerta. (2020, June 4). Supplementary Materials for 'New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting' (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.3751042
  • Quezada-Gaibor, D., Klus, L., Torres-Sospedra, J., Lohan, E. S., Nurmi, J. and Huerta, J., 2020, October. Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices, In 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (pp. 208-213). IEEE. https://doi.org/10.1109/ICUMT51630.2020.9222411