We adopt a multidisciplinary approach combining technological disciplines such as electrical engineering, machine learning, physiological and wearable computing, with human-centric fields like human-computer interaction, user-centred design, product design, and perception studies. Consortium partners have proven experience transferring research in multimodal interaction to creative industry domains such as music and video games.
RAPID-MIX in Music Hack Day, Barcelona!
RAPID-MIX will be participating in the Music Hack Day, Barcelona from June 17th to the 19th. We will be conducting a workshop for participatory design and showcasing some of the technologies that we are developing in talks and performances. Come and join us and have a hands on approach with the new cutting edge technologies for music!
BITalino
BITalino is a low-cost toolkit to learn and prototype applications using body signals. It’s for students, teachers, makers, artists, researchers, corporate R&D… no electrical skills required.
Repovizz
Repovizz is a cloud service for collaborative data-driven research projects on performance and body motion, supporting structural formatting, remote storage, browsing, exchange, annotation, and visualization of synchronous multimodal and time-aligned data.
MAVEN
Maven is a statistical modelling and machine-learning based framework that uses models of audiovisual attention derived from user’s eye tracking and EEG recordings. It supports the creation of context-aware features for information visualisation and audiovisual scene representation.
JUCE
JUCE is a wide-ranging C++ class library for building rich cross-platform applications and plugins for all the major operating systems. It provides a complete set of fundamental classes covering GUI, containers, audio, midi, XML…