论文标题
通过手势分类和过渡矩阵在触摸屏上跟踪合奏性能
Tracking Ensemble Performance on Touch-Screens with Gesture Classification and Transition Matrices
论文作者
论文摘要
我们介绍并评估一个新的界面，用于跟踪触摸屏上的集合表演。该系统使用随机的森林分类器来提取触摸屏手势和过渡矩阵统计。它分析了跨表演者整体的产生状态序列。一系列专门设计的iPad应用程序响应了对自由形式手势表演的实时分析，并对其音乐接口进行了计算的修改。我们描述了我们的系统，并通过交叉验证和分析以及音乐会经验对其进行评估。
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.
