Conference paper Open Access
Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition Matrices
Martin, Charles; Gardner, Henry; Swift, Ben
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.
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Indexed in
- Publication date:
- June 1, 2015
- DOI:
-
- Published in:
- Proceedings of the International Conference on New Interfaces for Musical Expression, pp. 359--364.
- Meeting:
- International Conference on New Interfaces for Musical Expression, Baton Rouge, Louisiana, USA
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International