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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    <dct:title>Crowdsourced WiFi database and benchmark software for indoor positioning</dct:title>
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    <dcat:keyword>Received Signal Strength</dcat:keyword>
    <dcat:keyword>WLAN</dcat:keyword>
    <dcat:keyword>WiFi</dcat:keyword>
    <dcat:keyword>fingerprinting</dcat:keyword>
    <dcat:keyword>database</dcat:keyword>
    <dcat:keyword>training data</dcat:keyword>
    <dcat:keyword>software</dcat:keyword>
    <dcat:keyword>Matlab</dcat:keyword>
    <dcat:keyword>Python</dcat:keyword>
    <dcat:keyword>indoor</dcat:keyword>
    <dcat:keyword>positioning</dcat:keyword>
    <dcat:keyword>localization</dcat:keyword>
    <dcat:keyword>benchmark</dcat:keyword>
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    <dct:description>&lt;p&gt;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).&amp;nbsp;&lt;/p&gt; &lt;p&gt;The data was collected in a 4-floor university building in Tampere, Finland,&amp;nbsp; during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.&lt;/p&gt; &lt;p&gt;13.10.2017: Version 2 uploaded; the revised version contains improved readme files and improved Python SW.&lt;/p&gt; &lt;p&gt;The dataset and/or the associated software are to be cited as follows:&lt;/p&gt; &lt;p&gt;E.S. Lohan, J. Torres-Sospedra, P. Richter, H. Lepp&amp;auml;koski, J. Huerta, A. Cramariuc, &amp;ldquo;Crowdsourced WiFi-fingerprinting database and benchmark software for indoor positioning&amp;rdquo;, Zenodo repository, DOI 10.5281/zenodo.889798&lt;/p&gt;</dct:description>
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Publication date:
September 12, 2017
DOI:
10.5281/zenodo.1001662

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Keyword(s):
Received Signal Strength WLAN WiFi fingerprinting database training data software Matlab Python indoor positioning localization benchmark
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MIT License

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Version 2 10.5281/zenodo.1001662 Sep 12, 2017
Version 1 10.5281/zenodo.889798 Sep 12, 2017
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