For many, the pursuit and enjoyment of musical performance goes hand-in-hand with collaborative creativity, whether in a choir, jazz combo, orchestra, or rock band. However, few musical interfaces use the affordances of ...

Synchronisation is an important part of collaborative music systems, and with such systems implemented on mobile devices, the implementation of algorithms for synchronisation without central control becomes increasingly ...

We present Funky Sole Music, a musical interface employing a sole embedded with three force sensitive resistors in combination with a novel algorithm for continuous movement classification. A heuristics-based music engine ...

Touch-screen musical performance has become commonplace since the widespread adoption of mobile devices such as smartphones and tablets. However, mobile digital musical instruments are rarely designed to emphasise collaborative ...

MicroJam is a mobile app for sharing tiny touch-screen performances. Mobile applications that streamline creativity and social interaction have enabled a very broad audience to develop their own creative practices. While ...

This paper is about creating digital musical instruments where a predictive neural network model is integrated into the interactive system. Rather than predicting symbolic music (e.g., MIDI notes), we suggest that predicting ...

Generating convincing music via deep neural networks is a challenging problem that shows promise for many applications including interactive musical creation. One part of this challenge is the problem of generating convincing ...

Our research on music-related actions is based on the conviction that sensations of both sound and body motion are inseparable in the production and perception of music. The expression "musicrelated actions" is here used ...

We consider the issue of how a flexible musical space can be manipulated by users of an active music system. The musical space is navigated within by selecting transitions between different sections of the space. We take ...

This work proposes a novel facial expression recognition approach to contribute to better human-machine interactions. To do that, edge features in facial expression images are combined with a recurrent neural network (RNN) ...