Demonstrating Interactive Machine Learning Tools for Rapid Prototyping of Gestural Instruments in the Browser
Adam Parkinson, Michael Zbyszyński, Francisco Bernardo · Queen Mary Research Online (Queen Mary University of London) · 2017
These demonstrations will allow visitors to prototype gestural, interactive musical instruments in the browser. Different browser based synthesisers can be controlled by either a Leap Motion sensor or a Myo armband. The visitor will be able to use an interactive machine learning toolkit to quickly and iteratively explore different interaction possibilities. The demonstrations show how interactive, browser-based machine learning tools can be used to rapidly prototype gestural controllers for audio. These demonstrations showcase RapidLib, a browser based machine learning library developed through the RAPID-MIX project.