Dataset Open Access

A dataset for high-level activity recognition based on low level audio events

Theodoros Giannakopoulos; Stasinos Konstantopoulos


DataCite XML Export

<?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.376480</identifier>
  <creators>
    <creator>
      <creatorName>Theodoros Giannakopoulos</creatorName>
      <affiliation>NCSR Demokritos</affiliation>
    </creator>
    <creator>
      <creatorName>Stasinos Konstantopoulos</creatorName>
      <affiliation>NCSR Demokritos</affiliation>
    </creator>
  </creators>
  <titles>
    <title>A dataset for high-level activity recognition based on low level audio events</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <dates>
    <date dateType="Issued">2017-03-10</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/376480</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/radio</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 high level activities are:&lt;br&gt;
 - kitchencleanup&lt;br&gt;
 - music&lt;br&gt;
 - no activity&lt;br&gt;
 - other activity&lt;br&gt;
 - talk&lt;br&gt;
 - tv&lt;/p&gt;

&lt;p&gt;Each recording of low-level audio events is stored in a separate file.&lt;/p&gt;

&lt;p&gt;Files are organized in 6 folders, each folder corresponding to a separate file.&lt;/p&gt;

&lt;p&gt;The format of is file is json-like. In particular, each row has the following format:&lt;/p&gt;

&lt;p&gt;{"prob": 0.88557562121157585, "energy": 0.024511212402412885, "t": 1485110417, "event": "speech"}&lt;/p&gt;

&lt;p&gt;This dataset can be evaluated with the python code metaClassifier/evaluate.py of the AUOR repository:&lt;br&gt;
https://github.com/tyiannak/AUROS&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/H2020/643892/">643892</awardNumber>
      <awardTitle>Robots in assisted living environments: Unobtrusive, efficient, reliable and modular solutions for independent ageing</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
47
2
views
downloads
All versions This version
Views 4747
Downloads 22
Data volume 314.8 kB314.8 kB
Unique views 4747
Unique downloads 22

Share

Cite as