Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition Matrices
Loading...
Date
Authors
Martin, Carmel
Gardner, Henry
Swift, Ben
Journal Title
Journal ISSN
Volume Title
Publisher
Goldsmiths University of London
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
Description
Citation
Collections
Source
Proceedings of the International Conference on New Interfaces for Musical Expression
Type
Book Title
Entity type
Access Statement
Open Access
License Rights
Creative Commons Attribution 4.0 International
Restricted until
Downloads
File
Description