Conference paper Open Access

Movement Fluidity Analysis Based on Performance and Perception

Alborno, Paolo; Piana, Stefano; Mancini, Maurizio; Niewiadomski, Radoslaw; Volpe, Gualtiero; Camurri, Antonio


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  <identifier identifierType="DOI">10.5281/zenodo.1245686</identifier>
  <creators>
    <creator>
      <creatorName>Alborno, Paolo</creatorName>
      <givenName>Paolo</givenName>
      <familyName>Alborno</familyName>
      <affiliation>University of Genova</affiliation>
    </creator>
    <creator>
      <creatorName>Piana, Stefano</creatorName>
      <givenName>Stefano</givenName>
      <familyName>Piana</familyName>
      <affiliation>University of Genova</affiliation>
    </creator>
    <creator>
      <creatorName>Mancini, Maurizio</creatorName>
      <givenName>Maurizio</givenName>
      <familyName>Mancini</familyName>
      <affiliation>University of Genova</affiliation>
    </creator>
    <creator>
      <creatorName>Niewiadomski, Radoslaw</creatorName>
      <givenName>Radoslaw</givenName>
      <familyName>Niewiadomski</familyName>
      <affiliation>University of Genova</affiliation>
    </creator>
    <creator>
      <creatorName>Volpe, Gualtiero</creatorName>
      <givenName>Gualtiero</givenName>
      <familyName>Volpe</familyName>
      <affiliation>University of Genova</affiliation>
    </creator>
    <creator>
      <creatorName>Camurri, Antonio</creatorName>
      <givenName>Antonio</givenName>
      <familyName>Camurri</familyName>
      <affiliation>University of Genova</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Movement Fluidity Analysis Based on Performance and Perception</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <subjects>
    <subject>movement</subject>
    <subject>analysis</subject>
    <subject>fluidity</subject>
    <subject>perception</subject>
    <subject>evaluation</subject>
    <subject>performance</subject>
    <subject>dance</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2016-05-07</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1245686</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1245685</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/wholodance_eu</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://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;In this work we present a framework and an experimental&amp;nbsp;approach to investigate human body movement qualities&amp;nbsp;(i.e., the expressive components of non-verbal communication)&amp;nbsp;in HCI. We first define a candidate movement quality&amp;nbsp;conceptually, with the contribute of experts in the field (e.g.,&amp;nbsp;dancers, choreographers). Next, we collect a dataset of&amp;nbsp;performances and we evaluate the perception of the chosen&amp;nbsp;quality. Finally, we propose a computational model to&amp;nbsp;detect the presence of the quality in a movement segment&amp;nbsp;and we compare the outcomes of the model with the evaluation&amp;nbsp;results. In the proposed on-going work, we apply this&amp;nbsp;approach to a specific quality of movement: Fluidity. The&amp;nbsp;proposed methods and models may have several applications,&amp;nbsp;e.g., in emotion detection from full-body movement,&amp;nbsp;interactive training of motor skills, rehabilitation.&amp;nbsp;&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/H2020/688865/">688865</awardNumber>
      <awardTitle>Whole-Body Interaction Learning for Dance Education</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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