Dataset Open Access

Logistic Activity Recognition Challenge (LARa Version 02) – A Motion Capture and Inertial Measurement Dataset

Niemann, Friedrich; Reining, Christopher; Moya Rueda, Fernando; Bas, Hülya; Altermann, Erik; Nair, Nilah Ravi; Steffens, Janine Anika; Fink, Gernot A.; ten Hompel, Michael


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  <identifier identifierType="DOI">10.5281/zenodo.5761276</identifier>
  <creators>
    <creator>
      <creatorName>Niemann, Friedrich</creatorName>
      <givenName>Friedrich</givenName>
      <familyName>Niemann</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4827-3206</nameIdentifier>
      <affiliation>Chair of Materials Handling and Warehousing, TU Dortmund University</affiliation>
    </creator>
    <creator>
      <creatorName>Reining, Christopher</creatorName>
      <givenName>Christopher</givenName>
      <familyName>Reining</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4915-4070</nameIdentifier>
      <affiliation>Chair of Materials Handling and Warehousing, TU Dortmund University</affiliation>
    </creator>
    <creator>
      <creatorName>Moya Rueda, Fernando</creatorName>
      <givenName>Fernando</givenName>
      <familyName>Moya Rueda</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8115-5968</nameIdentifier>
      <affiliation>Pattern Recognition in Embedded Systems Groups, TU Dortmund University</affiliation>
    </creator>
    <creator>
      <creatorName>Bas, Hülya</creatorName>
      <givenName>Hülya</givenName>
      <familyName>Bas</familyName>
      <affiliation>Chair of Materials Handling and Warehousing, TU Dortmund University</affiliation>
    </creator>
    <creator>
      <creatorName>Altermann, Erik</creatorName>
      <givenName>Erik</givenName>
      <familyName>Altermann</familyName>
      <affiliation>Pattern Recognition in Embedded Systems Groups, TU Dortmund University</affiliation>
    </creator>
    <creator>
      <creatorName>Nair, Nilah Ravi</creatorName>
      <givenName>Nilah Ravi</givenName>
      <familyName>Nair</familyName>
      <affiliation>Chair of Materials Handling and Warehousing, TU Dortmund University</affiliation>
    </creator>
    <creator>
      <creatorName>Steffens, Janine Anika</creatorName>
      <givenName>Janine Anika</givenName>
      <familyName>Steffens</familyName>
      <affiliation>Chair of Materials Handling and Warehousing, TU Dortmund University</affiliation>
    </creator>
    <creator>
      <creatorName>Fink, Gernot A.</creatorName>
      <givenName>Gernot A.</givenName>
      <familyName>Fink</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7446-7813</nameIdentifier>
      <affiliation>Pattern Recognition in Embedded Systems Groups, TU Dortmund University</affiliation>
    </creator>
    <creator>
      <creatorName>ten Hompel, Michael</creatorName>
      <givenName>Michael</givenName>
      <familyName>ten Hompel</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3349-4951</nameIdentifier>
      <affiliation>Chair of Materials Handling and Warehousing, TU Dortmund University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Logistic Activity Recognition Challenge (LARa Version 02) – A Motion Capture and Inertial Measurement Dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2022</publicationYear>
  <subjects>
    <subject>Human Activity Recognition</subject>
    <subject>Attribute-based Representation</subject>
    <subject>Dataset</subject>
    <subject>Motion Capturing</subject>
    <subject>Intertial Measurement Unit</subject>
    <subject>Accelerometer</subject>
    <subject>Annotation</subject>
    <subject>Warehousing</subject>
    <subject>Logistics</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2022-02-16</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="doi">10.3390/s20154083</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5761276</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy" resourceTypeGeneral="JournalArticle">10.3390/s20154083</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy" resourceTypeGeneral="Dataset">10.5281/zenodo.5680951</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy" resourceTypeGeneral="ConferencePaper">10.1109/ICPR48806.2021.9412283</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy" resourceTypeGeneral="ConferencePaper">10.1109/PerComWorkshops48775.2020.9156170</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy" resourceTypeGeneral="ConferencePaper">10.1109/PerComWorkshops51409.2021.9431062</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="arXiv" relationType="IsCitedBy" resourceTypeGeneral="ConferencePaper">arXiv:2111.04564</relatedIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3862781</relatedIdentifier>
  </relatedIdentifiers>
  <version>2</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-nc/4.0/legalcode">Creative Commons Attribution Non Commercial 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;LARa&lt;/strong&gt;&lt;strong&gt; Version 02&lt;/strong&gt;&amp;nbsp;is a freely accessible logistics-dataset for human activity recognition. In the &amp;rsquo;Innovationlab Hybrid Services in Logistics&amp;rsquo; at TU Dortmund University, two picking and one packing scenarios with 16&amp;nbsp;subjects were recorded using an optical marker-based&amp;nbsp;Motion Capturing system (OMoCap), Inertial Measurement Units (IMUs), and an RGB camera. Each subject was recorded for one hour (960 minutes in total).&amp;nbsp;All the given data have been labeled and categorised into eight&amp;nbsp;activity classes and 19&amp;nbsp;binary coarse-semantic descriptions, also called attributes. In total, the dataset contains 221&amp;nbsp;unique attribute representations.&lt;/p&gt;

&lt;p&gt;You can find the latest version of the annotation tool here:&amp;nbsp;&lt;a href="https://github.com/wilfer9008/Annotation_Tool_LARa"&gt;https://github.com/wilfer9008/Annotation_Tool_LARa&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Upgrade:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Subject 15 and 16 added&lt;/li&gt;
	&lt;li&gt;OMoCap raw data added (c3d, csv)&lt;/li&gt;
	&lt;li&gt;Second IMU set added (MotionMiners Sensors)&lt;/li&gt;
	&lt;li&gt;OMoCap data: file names from subject 01 to subject 06 corrected&lt;/li&gt;
	&lt;li&gt;OMoCap data: additional annotated data added&lt;/li&gt;
	&lt;li&gt;OMoCap and IMU data (Mbientlab and MotionMiners Sensors): Annotation errors corrected&lt;/li&gt;
	&lt;li&gt;OMoCap Networks added (all for Window Size of 200 frames (1sec.))&amp;nbsp;
	&lt;ul&gt;
		&lt;li&gt;tCNN_classes&lt;/li&gt;
		&lt;li&gt;tCNN-IMU_classes&lt;/li&gt;
		&lt;li&gt;tCNN_attrib&lt;/li&gt;
		&lt;li&gt;tCNN-IMU_attrib&amp;nbsp;&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
	&lt;li&gt;Mbientlab Networks added (all for Window Size of 100 frames&amp;nbsp;(1sec.))
	&lt;ul&gt;
		&lt;li&gt;tCNN_classes&lt;/li&gt;
		&lt;li&gt;tCNN-IMU_classes&lt;/li&gt;
		&lt;li&gt;tCNN_attrib&lt;/li&gt;
		&lt;li&gt;tCNN-IMU_attrib&lt;/li&gt;
	&lt;/ul&gt;
	&lt;/li&gt;
	&lt;li&gt;Protocol extended (now README file)&lt;/li&gt;
	&lt;li&gt;List of unique attribute representations added (csv)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;If you use this dataset&amp;nbsp;for research, please&amp;nbsp;cite the following paper: &amp;ldquo;LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes&lt;/strong&gt;&lt;strong&gt;&amp;rdquo;,&amp;nbsp;Sensors&amp;nbsp;2020,&amp;nbsp;DOI:&amp;nbsp;&lt;a href="https://doi.org/10.3390/s20154083"&gt;10.3390/s20154083&lt;/a&gt;.&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;If you use the Mbientlab Networks, please cite the following paper: &amp;ldquo;From Human Pose to On-Body Devices for Human-Activity Recognition&amp;rdquo;,&amp;nbsp;25th International Conference on Pattern Recognition (ICPR), 2021, DOI: &lt;/strong&gt;&lt;a href="https://doi.org/10.1109/ICPR48806.2021.9412283"&gt;&lt;strong&gt;10.1109/ICPR48806.2021.9412283&lt;/strong&gt;&lt;/a&gt;&lt;strong&gt;.&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;If you have any questions about the dataset, please contact&amp;nbsp;&lt;strong&gt;&lt;a href="mailto:friedrich.niemann@tu-dortmund.de"&gt;friedrich.niemann@tu-dortmund.de&lt;/a&gt;.&lt;/strong&gt;&lt;/p&gt;</description>
    <description descriptionType="Other">Acknowledgement: The work on this publication was supported by Deutsche Forschungsgemeinschaft (DFG) in the context of the project Fi799/10-2, HO2403/14-2 "Transfer Learning for Human Activity Recognition in Logistics".</description>
  </descriptions>
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