Dataset Open Access

Indoor Localization Dataset

Ilias Kalamaras


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  <identifier identifierType="DOI">10.5281/zenodo.2671590</identifier>
  <creators>
    <creator>
      <creatorName>Ilias Kalamaras</creatorName>
      <affiliation>CERTH</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Indoor Localization Dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>indoor location detection</subject>
    <subject>beacon-based localization</subject>
    <subject>indoor localization</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-05-07</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2671590</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2671589</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The dataset contains information concerning the older people&amp;rsquo;s movement inside their homes regarding their indoor location in the home setting.&lt;/p&gt;

&lt;p&gt;The dataset is recorded daily with the use of smart beacon devices installed in each older person&amp;#39;s home and monitored through the system.&lt;/p&gt;

&lt;p&gt;Each record of the dataset has the following fields:&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;part_id&lt;/strong&gt;: The user ID, which should be a 4-digit number&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;ts_date&lt;/strong&gt;: The recording date, which follows the &amp;ldquo;YYYYMMDD&amp;rdquo; format, e.g. 14 September 2017, is formatted as 20170914&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;ts_time&lt;/strong&gt;: The recording time, which follows the &amp;ldquo;hh:mm:ss&amp;rdquo; format&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;room&lt;/strong&gt;: The room which the person entered on the specific date and time (It is assumed that the person remained in the room till the next recording of the same day)&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/690140/">690140</awardNumber>
      <awardTitle>Sensing and predictive treatment of frailty and associated co-morbidities using advanced personalized patient models and advanced interventions</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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