This chapter presents an overview of Interactive Machine Learning (IML) techniques applied
to the analysis and design of musical gestures. We go through the main challenges and …

For several decades NIME community has always been appropriating machine learning
(ML) to apply for various tasks such as gesture-sound mapping or sound synthesis for digital …

The study of extended reality musical instruments is a burgeoning topic in the field of new
interfaces for musical expression. We developed a mixed reality musical interface (MRMI) as …

We investigated how the action–sound relationships found in electric guitar performance
can be used in the design of new instruments. Thirty-one trained guitarists performed a set of …

This chapter explores three systems for mapping embodied gesture, acquired with
electromyography and motion sensing, to sound synthesis. A pilot study using granular …

ABSTRACT Interwoven Sound Spaces is an interdisciplinary project which brought together
telematic music performance, interactive textiles, interaction design, and artistic research. A …

Interactive music uses wearable sensors (ie, gestural interfaces—GIs) and biometric
datasets to reinvent traditional human–computer interaction and enhance music …

This article presents a custom system combining hardware and software that sense
physiological signals of the performer's body resulting from muscle contraction and …

We present a sonic interaction design approach that makes use of deep reinforcement
learning to explore many mapping possibilities between input sensor data streams and …

Since 2015, commercial gestural interfaces have widened accessibility for researchers and
artists to use novel Electromyographic (EMG) biometric data. EMG data measures musclar …