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PDCON:Conference/A Pd framework for the Xth Sense: enabling computers to sense human kinetic behaviour: Difference between revisions
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Author: Marco Donnarumma | Author: Marco Donnarumma | ||
The [Xth Sense http://res.marcodonnarumma.com] is an interactive system for the biophysical generation and control of music. It makes use of muscle sounds1 produced by a performer as both raw sonic material and control data. Presently the Xth Sense (XS) technology consists of low-cost, wearable biosensors and a Pure Data2 based application for capture, analysis, real time processing and playback of human muscle sounds. The technical implementation of the XS biosensors has been recently illustrated in | The [Xth Sense http://res.marcodonnarumma.com] is an interactive system for the biophysical generation and control of music. It makes use of muscle sounds1 produced by a performer as both raw sonic material and control data. Presently the Xth Sense (XS) technology consists of low-cost, wearable biosensors and a Pure Data2 based application for capture, analysis, real time processing and playback of human muscle sounds. The technical implementation of the XS biosensors has been recently illustrated in <ref>M. Donnarumma: “Xth Sense: researching muscle sounds for an experimental paradigm of musical performance” Proceedings of the Linux Audio Conference (LAC'11), 2011</ref>. | ||
This paper describes the design of the XS software; it is a program that enables a computer to “listen” to the MMG signals transduced by the XS biosensors, to understand the performance main features, and therefore to interact with the performer. After a brief introduction on the nature of the interaction fostered by the XS technology, I focus on the framework main features such as: the XS library, a tabbed dynamic interface (TDI), a MMG features extraction unit, and a graph-on-parent3 (GOP) routing system for dynamic mapping of gesture to sound. | This paper describes the design of the XS software; it is a program that enables a computer to “listen” to the MMG signals transduced by the XS biosensors, to understand the performance main features, and therefore to interact with the performer. After a brief introduction on the nature of the interaction fostered by the XS technology, I focus on the framework main features such as: the XS library, a tabbed dynamic interface (TDI), a MMG features extraction unit, and a graph-on-parent3 (GOP) routing system for dynamic mapping of gesture to sound. | ||
== References == | |||