The vBow: development of a virtual violin bow haptic human-computer interface
NIME '02 Proceedings of the 2002 conference on New interfaces for musical expression
The Hyperbow controller: real-time dynamics measurement of violin performance
NIME '02 Proceedings of the 2002 conference on New interfaces for musical expression
Playability evaluation of a virtual bowed string instrument
NIME '03 Proceedings of the 2003 conference on New interfaces for musical expression
An interface for real-time classification of articulations produced by violin bowing
NIME '03 Proceedings of the 2003 conference on New interfaces for musical expression
Synthesized strings for string players
NIME '04 Proceedings of the 2004 conference on New interfaces for musical expression
Versatile sensor acquisition system utilizing network technology
NIME '04 Proceedings of the 2004 conference on New interfaces for musical expression
Combining accelerometer and video camera: reconstruction of bow velocity profiles
NIME '06 Proceedings of the 2006 conference on New interfaces for musical expression
Reflective optical pickup for violin
NIME '06 Proceedings of the 2006 conference on New interfaces for musical expression
NIME '06 Proceedings of the 2006 conference on New interfaces for musical expression
The augmented violin project: research, composition and performance report
NIME '06 Proceedings of the 2006 conference on New interfaces for musical expression
String Bowing Gestures at Varying Bow Stroke Frequencies: A Case Study
Gesture-Based Human-Computer Interaction and Simulation
Statistical modeling of bowing control applied to violin sound synthesis
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on virtual analog audio Effects and musical instruments
An approach to predicting bowing control parameter contours in violin performance
Intelligent Data Analysis - Machine Learning and Music
Analysis of erhu playing and design of learning environment for novice erhu player
ITHET'10 Proceedings of the 9th international conference on Information technology based higher education and training
Towards a gesture-sound cross-modal analysis
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
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We developed an ”augmented violin”, i.e. an acoustic instrument with added gesture capture capabilities to control electronic processes. We report here gesture analysis we performed on three different bow strokes, Détaché, Martelé and Spiccato, using this augmented violin. Different features based on velocity and acceleration were considered. A linear discriminant analysis has been performed to estimate a minimum number of pertinent features necessary to model these bow stroke classes. We found that the maximum and minimum accelerations of a given stroke were efficient to parameterize the different bow stroke types, as well as differences in dynamics playing. Recognition rates were estimated using a kNN method with various training sets. We finally discuss that bow stroke recognition allows to relate the gesture data to music notation, while a bow stroke continuous parameterization can be related to continuous sound characteristics.