Dataset Open Access
Lohan, Elena Simona; Torres-Sospedra, Joaquin; Richter, Philipp; Leppäkoski, Helena; Huerta, Joaquin; Cramariuc, Andrei
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.1001662</identifier> <creators> <creator> <creatorName>Lohan, Elena Simona</creatorName> <givenName>Elena Simona</givenName> <familyName>Lohan</familyName> <affiliation>Tampere University of Technology</affiliation> </creator> <creator> <creatorName>Torres-Sospedra, Joaquin</creatorName> <givenName>Joaquin</givenName> <familyName>Torres-Sospedra</familyName> <affiliation>Universitat Jaume I</affiliation> </creator> <creator> <creatorName>Richter, Philipp</creatorName> <givenName>Philipp</givenName> <familyName>Richter</familyName> <affiliation>Tampere University of Technology</affiliation> </creator> <creator> <creatorName>Leppäkoski, Helena</creatorName> <givenName>Helena</givenName> <familyName>Leppäkoski</familyName> <affiliation>Tampere University of Technology</affiliation> </creator> <creator> <creatorName>Huerta, Joaquin</creatorName> <givenName>Joaquin</givenName> <familyName>Huerta</familyName> <affiliation>Universitat Jaume I</affiliation> </creator> <creator> <creatorName>Cramariuc, Andrei</creatorName> <givenName>Andrei</givenName> <familyName>Cramariuc</familyName> <affiliation>Tampere University of Technology</affiliation> </creator> </creators> <titles> <title>Crowdsourced WiFi database and benchmark software for indoor positioning</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2017</publicationYear> <subjects> <subject>Received Signal Strength</subject> <subject>WLAN</subject> <subject>WiFi</subject> <subject>fingerprinting</subject> <subject>database</subject> <subject>training data</subject> <subject>software</subject> <subject>Matlab</subject> <subject>Python</subject> <subject>indoor</subject> <subject>positioning</subject> <subject>localization</subject> <subject>benchmark</subject> </subjects> <dates> <date dateType="Issued">2017-09-12</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1001662</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.889797</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/tau-tltpos</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/tau_wireless</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://opensource.org/licenses/MIT">MIT License</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="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> <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> <p>13.10.2017: Version 2 uploaded; the revised version contains improved readme files and improved Python SW.</p> <p>The dataset and/or the associated software are to be cited as follows:</p> <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></description> </descriptions> </resource>
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