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Dataset of Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion

Filippeschi, Alessandro; Ruffaldi, Emanuele

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  <identifier identifierType="URL"></identifier>
      <creatorName>Filippeschi, Alessandro</creatorName>
      <affiliation>Scuola Superiore Sant'Anna</affiliation>
      <creatorName>Ruffaldi, Emanuele</creatorName>
      <affiliation>Scuola Superiore Sant'Anna</affiliation>
    <title>Dataset of Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion</title>
    <subject>human motion</subject>
    <date dateType="Issued">2017-06-01</date>
  <resourceType resourceTypeGeneral="Dataset"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.3390/s17061257</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.3390/s17061257</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;MATLAB Dataset for the paper. &lt;/p&gt;

&lt;p&gt;Paper Abstract:&lt;/p&gt;

&lt;p&gt;Motion tracking based on commercial inertial measurements units (IMUs) has been widely studied in the latter years as it is a cost-effective enabling technology for those applications in which motion tracking based on optical technologies is unsuitable. This measurement method has a high impact in human performance assessment and human-robot interaction. IMU motion tracking systems are indeed self-contained and wearable, allowing for long-lasting tracking of the user motion in situated environments. After a survey on IMU-based human tracking, five techniques for motion reconstruction were selected and compared to reconstruct a human arm motion. IMU based estimation was matched against motion tracking based on the Vicon marker-based motion tracking system considered as ground truth. Results show that all but one of the selected models perform similarly (about 35 mm average position estimation error).&lt;/p&gt;</description>
    <description descriptionType="Other"></description>
    <description descriptionType="Other">{"references": ["Filippeschi, A.; Schmitz, N.; Miezal, M.; Bleser, G.; Ruffaldi, E.; Stricker, D.\tSurvey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion. Sensors 2017, 17, 1257."]}</description>
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