Dataset Open Access

Crowdsourced WiFi database and benchmark software for indoor positioning

Lohan, Elena Simona; Torres-Sospedra, Joaquin; Richter, Philipp; Leppäkoski, Helena; Huerta, Joaquin; Cramariuc, Andrei


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1001662", 
  "author": [
    {
      "family": "Lohan, Elena Simona"
    }, 
    {
      "family": "Torres-Sospedra, Joaquin"
    }, 
    {
      "family": "Richter, Philipp"
    }, 
    {
      "family": "Lepp\u00e4koski, Helena"
    }, 
    {
      "family": "Huerta, Joaquin"
    }, 
    {
      "family": "Cramariuc, Andrei"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2017, 
        9, 
        12
      ]
    ]
  }, 
  "abstract": "<p>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).&nbsp;</p>\n\n<p>The data was collected in a 4-floor university building in Tampere, Finland,&nbsp; during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.</p>\n\n<p>13.10.2017: Version 2 uploaded; the revised version contains improved readme files and improved Python SW.</p>\n\n<p>The dataset and/or the associated software are to be cited as follows:</p>\n\n<p>E.S. Lohan, J. Torres-Sospedra, P. Richter, H. Lepp&auml;koski, J. Huerta, A. Cramariuc, &ldquo;Crowdsourced WiFi-fingerprinting database and benchmark software for indoor positioning&rdquo;, Zenodo repository, DOI 10.5281/zenodo.889798</p>", 
  "title": "Crowdsourced WiFi database and benchmark software for indoor positioning", 
  "type": "dataset", 
  "id": "1001662"
}
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