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M12 Crowsensed Collected Data from Wearables

Open-source crowsensed collected data from wearables made available to the research community.

  • Mobile device-based BLE Database for range estimation in collaborative positioning

  • Datasets and Supporting Materials for the IPIN 2020 Competition Track 3 (Smartphone-based, off-site).
    • This package contains the datasets and supplementary materials to assess smartphone-based indoor navigation solutions used in the IPIN 2020 Competition.
  • Datasets and Supporting Materials for the IPIN 2019 Competition Track 3 (Smartphone-based, off-site).
    • This package contains the datasets and supplementary materials to assess smartphone-based indoor navigation solutions used in the IPIN 2019 Competition (Pisa, Italy).
    • https://zenodo.org/record/3606765
  • Supplementary Materials for `Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach’
    • This package contains the Supplementary Materials for ‘Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach’
    • https://zenodo.org/record/4738405
  • Supplementary Materials for “RSS fingerprinting dataset size reduction using feature-wise adaptive k-means clustering”
  • Supplementary Materials for “Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices”
    • This package contains all the functions and datasets used to run the experiments in the paper “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
  • Supplementary Materials for ‘New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting’
    • This package includes the materials and methods to reproduce the results presented in the paper “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.”
    • https://zenodo.org/record/3751042