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DC Field | Value | Language |
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dc.contributor.author | Gillian, N | - |
dc.contributor.author | Nicolls, S | - |
dc.contributor.editor | Edmonds, E | - |
dc.contributor.editor | McLean, A | - |
dc.date.accessioned | 2015-10-27T12:08:58Z | - |
dc.date.available | 2015-10-27T12:08:58Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Leonardo, 48(3): 294-295, (June 2015) | en_US |
dc.identifier.issn | 0024-094X | - |
dc.identifier.uri | http://www.mitpressjournals.org/doi/10.1162/LEON_a_01016#.Vi9mQjZFCcw | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/11523 | - |
dc.description.abstract | We 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.iso | en | en_US |
dc.publisher | Massachusetts Institute of Technology Press | en_US |
dc.subject | Piano | en_US |
dc.subject | Improvisation | en_US |
dc.subject | Gesture recognition | en_US |
dc.subject | Machine learning | en_US |
dc.title | Kinect-ed Piano | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1162/LEON_a_01016 | - |
dc.relation.isPartOf | Leonardo Electronic Almanac | - |
Appears in Collections: | Dept of Arts and Humanities Research Papers |
Files in This Item:
File | Description | Size | Format | |
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Fulltext.pdf | 2.58 MB | Adobe PDF | View/Open |
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