The possibility for humans to interact with physical or virtual systems using gestures has
been vastly explored by researchers and designers in the last 20 years to provide new and …

In many contemporary societies, the pervasiveness of technology is constantly expanding.
From communication to social networks, digital health and welfare services, every aspect of …

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 …

Hand gestures are a natural and expressive input method enabled by modern mixed reality
headsets. However, it remains challenging for developers to create custom gestures for their …

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 …

This chapter explores the potential of Artificial Intelligence (AI) for art music composition,
focusing on how AI can transform musical tasks and shape compositional ideas. In this …

In industry, ergonomists apply heuristic methods to determine workers' exposure to
ergonomic risks; however, current methods are limited to evaluating postures or measuring …

Repetitive practice is one of the most important factors in improving the performance of
motor skills. This paper focuses on the analysis and classification of forearm gestures in the …

There is a potential for immersive tools that can teach some basic aspects of conducting in a
constructive way. This work presents a Kinect-based conducting system that uses a gestural …

Body-focused repetitive behaviors (BFRBs), like face-touching or skin-picking, are hand-
driven behaviors which can damage one's appearance, if not identified early and treated …