Musical agents are artificial agents that tackle musical creative tasks, partially or completely.
This review of musical agents combines the terminology of Generative Arts (artistic practice) …

3D gestural interaction provides a powerful and natural way to interact with computers using
the hands and body for a variety of different applications including video games, training and …

This article aims to lay a foundation for the research and practice of machine learning
education for creative practitioners. It begins by arguing that it is important to teach machine …

This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …

This article presents a gesture recognition/adaptation system for human--computer
interaction applications that goes beyond activity classification and that, as a complement to …

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 …

This paper presents a conceptual framework for the analysis of expressive qualities of
movement. Our perspective is to model an observer of a dance performance. The …

Proton++ is a declarative multitouch framework that allows developers to describe
multitouch gestures as regular expressions of touch event symbols. It builds on the Proton …

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 …