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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...[Show more]

CollectionsANU Research Publications
Date published: 2015-05-31
Type: Conference paper
Book Title: Proceedings of the International Conference on New Interfaces for Musical Expression
Access Rights: Open Access


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