I describe the research and creation journey of a choreographic dance piece called SKIN
that I made with another choreographer, 3 dancers, 1 musician and 1 developer. The …

Machine learning is the capacity of a computational system to learn structures from datasets
in order to make predictions on newly seen data. Such an approach offers a significant …

We present an overview of machine learning (ML) techniques and their application in
interactive music and new digital instrument design. We first provide the non-specialist …

This paper investigates the process of appropriation in digital musical instrument
performance, examining the effect of instrument complexity on the emergence of personal …

Interaction based on human movement has the potential to become an important new
paradigm of human-computer interaction. However, high quality, mainstream movement …

We present a set of probabilistic models that support the design of movement and sound
relationships in interactive sonic systems. We focus on a mapping-by-demonstration …

Gesture-to-sound mapping is generally defined as the association between gestural and
sound parameters. This article describes an approach that brings forward the perception …

Human movement has historically been approached as a functional component of
interaction within human computer interaction. Yet movement is not only functional, it is also …

Technologies for sensing movement are expanding toward everyday use in virtual reality,
gaming, and artistic practices. In this context, there is a need for methodologies to help …

Gestures in music are of paramount importance partly because they are directly linked to
musicians' sound and expressiveness. At the same time, current motion capture …