Conference paper Open Access

Reach: a keyboard-based gesture recognition system for live piano sound modulation

Granieri, Niccolo; Dooley, James

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  <identifier identifierType="DOI">10.5281/zenodo.3673000</identifier>
      <creatorName>Granieri, Niccolo</creatorName>
      <creatorName>Dooley, James</creatorName>
    <title>Reach: a keyboard-based gesture recognition system for live piano sound modulation</title>
    <date dateType="Issued">2019-06-01</date>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3672999</relatedIdentifier>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <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>
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