Published June 1, 2015
| Version v1
Conference paper
Open
Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition Matrices
Creators
Description
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.
Files
nime2015_242.pdf
Files
(2.7 MB)
Name | Size | Download all |
---|---|---|
md5:3c626e02f73105a6c14aae7f932d06c7
|
2.7 MB | Preview Download |