Dataset Open Access

GSPEED - BLE-based gait speed dataset

Emilio Sansano-Sansano; Fernando J. Aranda; Raúl Montoliu; Fernando J. Álvarez


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        <foaf:name>Raúl Montoliu</foaf:name>
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        <foaf:name>Fernando J. Álvarez</foaf:name>
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    <dct:title>GSPEED - BLE-based gait speed dataset</dct:title>
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    <dcat:keyword>Bluetooth Low Energy</dcat:keyword>
    <dcat:keyword>Gait speed</dcat:keyword>
    <dcat:keyword>Walk speed</dcat:keyword>
    <dcat:keyword>BLE</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-11-08</dct:issued>
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    <dct:description>&lt;p&gt;Bluetooth Low Energy (BLE) database to evaluate the gait speed of individuals&amp;nbsp;in an in-home environment. The database is composed of several BLE RSSI measurements from different wearable devices and different BLE beacons, corresponding to 382 walks performed by 13 actors.&lt;/p&gt; &lt;p&gt;Each row represents an RSSI measurement. The structure of the dataset is as follows:&lt;/p&gt; &lt;ul&gt; &lt;li&gt; &lt;pre&gt;&lt;strong&gt;mac&lt;/strong&gt;: The MAC address of the detected beacon. &lt;strong&gt;rssi&lt;/strong&gt;: The RSSI value obtained for the beacon. &lt;strong&gt;device&lt;/strong&gt;: A four-character descriptor for the smartwatch that performed the scan. &lt;strong&gt;timestamp&lt;/strong&gt;: The time stamp at which the scan was received. &lt;strong&gt;user&lt;/strong&gt;: The id of the user that was performing the experiment. &lt;strong&gt;direction&lt;/strong&gt;: A number (0 or 1) indicating the direction of the walk. &lt;strong&gt;walk_id&lt;/strong&gt;: A number that identifies each walk. &lt;strong&gt;speed&lt;/strong&gt;: The actual speed of the user, in $m/s$.&lt;/pre&gt; &lt;/li&gt; &lt;/ul&gt;</dct:description>
    <dct:description>This work was supported in part by the Spanish Ministry of Economy and Competitiveness through projects MICROCEBUS (RTI2018-095168-B-C53/C54), REPNIN+ (TEC2017-90808-REDT) and in part by the Regional Government of Extremadura and the European Regional Development Fund through project GR18038 and the Regional Government of Valencian Community by project AICO/2020/046.</dct:description>
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