In this paper we present the Dance Jockey System, a system developed for using a full body inertial motion capture suit (Xsens MVN) in music/dance performances. We present different strategies for extracting relevant postures and actions from the continuous data, and how these postures and actions can be used to control sonic and musical features. The system has been used in several public performances, and we believe it has great potential for further exploration. However, to overcome the current practical and technical challenges when working with the system, it is important to further refine tools and software in order to facilitate making of new performance pieces.
Proceedings of the 12th International Conference on New Interfaces for Musical Expression.
University of Michigan Press 2012 ISBN 978-0-9855720-1-3
