Tracking ensemble performance on touch-screens with gesture classification and transition matrices
| dc.contributor.author | Martin, Charles | en |
| dc.contributor.author | Gardner, Henry | en |
| dc.contributor.author | Swift, Ben | en |
| dc.date.accessioned | 2025-06-04T06:31:04Z | |
| dc.date.available | 2025-06-04T06:31:04Z | |
| dc.date.issued | 2015 | en |
| dc.description.abstract | We present and evaluate a novel interface for tracking ensemble performances on touch-screens. The system uses a Random Forest classifier to extract touch-screen gestures and transition matrix statistics. It analyses the resulting gesture-state sequences across an ensemble of performers. A series of specially designed iPad apps respond to this real-time analysis of free-form gestural performances with calculated modifications to their musical interfaces. We describe our system and evaluate it through cross-validation and profiling as well as concert experience. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 6 | en |
| dc.identifier.other | Scopus:85150234098 | en |
| dc.identifier.other | ARIES:u4056230xPUB575 | en |
| dc.identifier.other | ORCID:/0000-0001-5683-7529/work/160805122 | en |
| dc.identifier.other | ORCID:/0000-0003-2138-5969/work/184984264 | en |
| dc.identifier.uri | http://www.scopus.com/inward/record.url?scp=85150234098&partnerID=8YFLogxK | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733756996 | |
| dc.language.iso | en | en |
| dc.relation.ispartofseries | 15th International conference on New Interfaces for Musical Expression, NIME 2015 | en |
| dc.rights | Publisher Copyright: © 2015, Steering Committee of the International Conference on New Interfaces for Musical Expression. All rights reserved. | en |
| dc.source | Proceedings of the International Conference on New Interfaces for Musical Expression | en |
| dc.subject | Ensemble performance | en |
| dc.subject | Gesture | en |
| dc.subject | Machine learning | en |
| dc.subject | Mobile music | en |
| dc.subject | Transition matrices | en |
| dc.title | Tracking ensemble performance on touch-screens with gesture classification and transition matrices | en |
| dc.type | Conference paper | en |
| local.bibliographicCitation.lastpage | 364 | en |
| local.bibliographicCitation.startpage | 359 | en |
| local.contributor.affiliation | Martin, Charles; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Gardner, Henry; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Swift, Ben; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.identifier.pure | cfc8488e-f344-4358-ba6b-ed37a8bd92f9 | en |
| local.type.status | Published | en |