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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    "name": "English"
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  "description": "<p><strong>LARa</strong><strong> Version 02</strong>&nbsp;is a freely accessible logistics-dataset for human activity recognition. In the &rsquo;Innovationlab Hybrid Services in Logistics&rsquo; at TU Dortmund University, two picking and one packing scenarios with 16&nbsp;subjects were recorded using an optical marker-based&nbsp;Motion Capturing system (OMoCap), Inertial Measurement Units (IMUs), and an RGB camera. Each subject was recorded for one hour (960 minutes in total).&nbsp;All the given data have been labeled and categorised into eight&nbsp;activity classes and 19&nbsp;binary coarse-semantic descriptions, also called attributes. In total, the dataset contains 221&nbsp;unique attribute representations.</p>\n\n<p>You can find the latest version of the annotation tool here:&nbsp;<a href=\"https://github.com/wilfer9008/Annotation_Tool_LARa\">https://github.com/wilfer9008/Annotation_Tool_LARa</a></p>\n\n<p><strong>Upgrade:</strong></p>\n\n<ul>\n\t<li>Subject 15 and 16 added</li>\n\t<li>OMoCap raw data added (c3d, csv)</li>\n\t<li>Second IMU set added (MotionMiners Sensors)</li>\n\t<li>OMoCap data: file names from subject 01 to subject 06 corrected</li>\n\t<li>OMoCap data: additional annotated data added</li>\n\t<li>OMoCap and IMU data (Mbientlab and MotionMiners Sensors): Annotation errors corrected</li>\n\t<li>OMoCap Networks added (all for Window Size of 200 frames (1sec.))&nbsp;\n\t<ul>\n\t\t<li>tCNN_classes</li>\n\t\t<li>tCNN-IMU_classes</li>\n\t\t<li>tCNN_attrib</li>\n\t\t<li>tCNN-IMU_attrib&nbsp;</li>\n\t</ul>\n\t</li>\n\t<li>Mbientlab Networks added (all for Window Size of 100 frames&nbsp;(1sec.))\n\t<ul>\n\t\t<li>tCNN_classes</li>\n\t\t<li>tCNN-IMU_classes</li>\n\t\t<li>tCNN_attrib</li>\n\t\t<li>tCNN-IMU_attrib</li>\n\t</ul>\n\t</li>\n\t<li>Protocol extended (now README file)</li>\n\t<li>List of unique attribute representations added (csv)</li>\n</ul>\n\n<p>&nbsp;</p>\n\n<p><strong>If you use this dataset&nbsp;for research, please&nbsp;cite the following paper: &ldquo;LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes</strong><strong>&rdquo;,&nbsp;Sensors&nbsp;2020,&nbsp;DOI:&nbsp;<a href=\"https://doi.org/10.3390/s20154083\">10.3390/s20154083</a>.</strong></p>\n\n<p><strong>If you use the Mbientlab Networks, please cite the following paper: &ldquo;From Human Pose to On-Body Devices for Human-Activity Recognition&rdquo;,&nbsp;25th International Conference on Pattern Recognition (ICPR), 2021, DOI: </strong><a href=\"https://doi.org/10.1109/ICPR48806.2021.9412283\"><strong>10.1109/ICPR48806.2021.9412283</strong></a><strong>.</strong></p>\n\n<p>If you have any questions about the dataset, please contact&nbsp;<strong><a href=\"mailto:friedrich.niemann@tu-dortmund.de\">friedrich.niemann@tu-dortmund.de</a>.</strong></p>", 
  "license": "https://creativecommons.org/licenses/by-nc/4.0/legalcode", 
  "creator": [
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      "name": "Niemann, Friedrich"
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      "name": "Reining, Christopher"
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      "affiliation": "Pattern Recognition in Embedded Systems Groups, TU Dortmund University", 
      "@id": "https://orcid.org/0000-0001-8115-5968", 
      "@type": "Person", 
      "name": "Moya Rueda, Fernando"
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    {
      "affiliation": "Chair of Materials Handling and Warehousing, TU Dortmund University", 
      "@type": "Person", 
      "name": "Bas, H\u00fclya"
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    {
      "affiliation": "Pattern Recognition in Embedded Systems Groups, TU Dortmund University", 
      "@type": "Person", 
      "name": "Altermann, Erik"
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    {
      "affiliation": "Chair of Materials Handling and Warehousing, TU Dortmund University", 
      "@type": "Person", 
      "name": "Nair, Nilah Ravi"
    }, 
    {
      "affiliation": "Chair of Materials Handling and Warehousing, TU Dortmund University", 
      "@type": "Person", 
      "name": "Steffens, Janine Anika"
    }, 
    {
      "affiliation": "Pattern Recognition in Embedded Systems Groups, TU Dortmund University", 
      "@id": "https://orcid.org/0000-0002-7446-7813", 
      "@type": "Person", 
      "name": "Fink, Gernot A."
    }, 
    {
      "affiliation": "Chair of Materials Handling and Warehousing, TU Dortmund University", 
      "@id": "https://orcid.org/0000-0003-3349-4951", 
      "@type": "Person", 
      "name": "ten Hompel, Michael"
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  "datePublished": "2022-02-16", 
  "url": "https://zenodo.org/record/5761276", 
  "version": "2", 
  "keywords": [
    "Human Activity Recognition", 
    "Attribute-based Representation", 
    "Dataset", 
    "Motion Capturing", 
    "Intertial Measurement Unit", 
    "Accelerometer", 
    "Annotation", 
    "Warehousing", 
    "Logistics"
  ], 
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  "@type": "Dataset", 
  "name": "Logistic Activity Recognition Challenge (LARa Version 02) \u2013 A Motion Capture and Inertial Measurement Dataset"
}
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