June 1, 2019 Conference paper Open Access

Granieri, Niccolo; Dooley, James

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  <identifier identifierType="DOI">10.5281/zenodo.3673000</identifier>
  <creators>
    <creator>
      <creatorName>Granieri, Niccolo</creatorName>
      <givenName>Niccolo</givenName>
      <familyName>Granieri</familyName>
    </creator>
    <creator>
      <creatorName>Dooley, James</creatorName>
      <givenName>James</givenName>
      <familyName>Dooley</familyName>
    </creator>
  </creators>
  <titles>
    <title>Reach: a keyboard-based gesture recognition system for live piano sound modulation</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-06-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3673000</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3672999</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/nime_conference</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">This paper presents Reach, a keyboard-based gesture recog- nition system for live piano sound modulation. Reach is a system built using the Leap Motion Orion SDK, Pure Data and a custom C++ OSC mapper1. It provides control over the sound modulation of an acoustic piano using the pi- anist's ancillary gestures. The system was developed using an iterative design pro- cess, incorporating research findings from two user studies and several case studies. The results that emerged show the potential of recognising and utilising the pianist's existing technique when designing keyboard-based DMIs, reducing the requirement to learn additional techniques.</description>
  </descriptions>
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