Tampere University of Technology

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Crowdsourced WiFi database and benchmark software for indoor positioning



This dataset contains two Wi-Fi databases (one for training and one for test/estimation purposes in indoor positioning applications), collected in a crowdsourced mode (i.e., via 21 different devices and different users), together with a benchmarking utility software (in Matlab and Python) to illustrate various algorithms of indoor positioning based solely on WiFi information (MAC addresses and RSS values).

The data was collected in a 4-floor university building in Tampere, Finland, during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.
Date made available12 Sep 2017
PublisherTampere University of Technology
Temporal coverageJan 2017 - Aug 2017
Date of data productionJan 2017 - Aug 2017
Geographical coverageParts of TUT campus
Geospatial polygon (coordinate pairs that describe the corners of a shape in decimal format, separated by commas) 23° 51' 15.7"E, 61° 26' 58.3"N 23° 51' 15.4"E, 61° 27' 00.5"N 23° 51' 24.3"E, 61° 27' 01.0"N 23° 51' 26.9"E, 61° 26' 58.7"N

Physical data

  • Crowdsourced WiFi-fingerprinting database

    Storage locationOn Zenodo: https://doi.org/10.5281/zenodo.889798
    MediaZip-folder containing csv-files

ID: 12922556