Brainwaves-driven Effects Automation in Musical Performance

Abstract

A variety of controllers with multifarious sensors and functions have maximized the real time performers control capa-bilities. The idea behind this project was to create an inter-face which enables the interaction between the performers and the effect processor measuring their brain waves am-plitudes, e.g., alpha, beta, theta, delta and gamma, not necessarily with the user’s awareness. We achieved this by using an electroencephalography (EEG) sensor for detecting performer’s different emotional states and, based on these, sending midi messages for digital processing units automation. The aim is to create a new generation of digital processor units that could be automatically configured in real-time given the emotions or thoughts of the performer or the audience. By introducing emotional state information in the real time control of several aspects of artistic expression, we highlight the impact of surprise and uniqueness in the artistic performance.