Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/11523
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dc.contributor.authorGillian, N-
dc.contributor.authorNicolls, S-
dc.contributor.editorEdmonds, E-
dc.contributor.editorMcLean, A-
dc.date.accessioned2015-10-27T12:08:58Z-
dc.date.available2015-10-27T12:08:58Z-
dc.date.issued2015-
dc.identifier.citationLeonardo, 48(3): 294-295, (June 2015)en_US
dc.identifier.issn0024-094X-
dc.identifier.urihttp://www.mitpressjournals.org/doi/10.1162/LEON_a_01016#.Vi9mQjZFCcw-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/11523-
dc.description.abstractWe describe a gesturally-controlled improvisation system for an experimental pianist, developed over several laboratory sessions and used during a performance [1] at the 2011 Conference on New Inter- faces for Musical Expression (NIME). We discuss the architecture and performative advantages and limitations of our gesturally-controlled improvisation system, and reflect on the lessons learned throughout its development. KEYWORDS: piano; improvisation; gesture recognition; machine learning.en_US
dc.language.isoenen_US
dc.publisherMassachusetts Institute of Technology Pressen_US
dc.subjectPianoen_US
dc.subjectImprovisationen_US
dc.subjectGesture recognitionen_US
dc.subjectMachine learningen_US
dc.titleKinect-ed Pianoen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1162/LEON_a_01016-
dc.relation.isPartOfLeonardo Electronic Almanac-
Appears in Collections:Dept of Arts and Humanities Research Papers

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