We present a HMM based system for real-time gesture analysis. The system outputs
continuously parameters relative to the gesture time progression and its likelihood. These …

Body movement is integral to both performance and perception of music, and this
dissertation suggests that we also think about music as movement. Based on ideas of …

Sensors are becoming increasingly important in interaction design. Authoring a sensor-
based interaction comprises three steps: choosing and connecting the appropriate …

Supervised learning methods have long been used to allow musical interface designers to
generate new mappings by example. We propose a method for harnessing machine …

This thesis examines machine learning through the lens of human-computer interaction in
order to address fundamental questions surrounding the application of machine learning to …

We present in this paper a complete gestural interface built to support music pedagogy. The
development of this prototype concerned both hardware and software components: a small …

In this paper, we outline a diffractive practice of machine learning (ML) in the frame of
material-centered interaction design. To this aim, we review related work in ML, HCI, design …

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 …

In this paper we present the augmented violin developed at IRCAM. This instrument is an
acoustic violin with added sensing capabilities to measure the bow acceleration in realtime …

We present Piano Genie, an intelligent controller which allows non-musicians to improvise
on the piano. With Piano Genie, a user performs on a simple interface with eight buttons …