Abstract
The art of conducting has a long and well-established history, as both a technical and expressive art form, using physical gesture to convey musical intent and expression. Conducting relies on visual communication to direct the individual instrumentalists of an ensemble as a single, coherent unit. The aim of this project is to capture and analyse the hand gestures of conducting in order to provide real-time, interactive multimodal feedback. The system encompasses a number of application contexts including gesture visualisation for conducting analysis, pedagogy and preservation. This chapter presents the design and development of the interface involving hardware sensors and software analysis modules, and discusses the application of visualisation for conducting. Visualisation software has been designed to produce a sculpture of the conductor’s gesture, to reflect the individual conductor’s style and technique. The chapter concludes with latest findings, future directions and the impact the research may have outside the realm of gesture communication application.
This chapter is an updated and extended version of the following paper, published here with kind permission of the Chartered Institute for IT (BCS) and of EVA London Conferences: Armitage et al., “mConduct: A multi-sensor interface for the capture and analysis of conducting gesture.” In S. Dunn, J. P. Bowen, and K. Ng (eds.). EVA London 2012 Conference Proceedings. Electronic Workshops in Computing (eWiC), British Computer Society, 2012. http://www.bcs.org/ewic/eva2012 (accessed 26 May 2013).
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Armitage, J., Ng, K. (2013). mConduct: A Multi-sensor Interface for the Capture and Analysis of Conducting Gesture. In: Bowen, J., Keene, S., Ng, K. (eds) Electronic Visualisation in Arts and Culture. Springer Series on Cultural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-5406-8_11
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