An EEG and Motion Capture Based Expressive Music Interface for Affective Neurofeedback

Grace Leslie, Rosalind Picard, Simon Lui


This project examines how the expression granted by new musical interfaces can be harnessed to create positive changes in health and well-being. We are undergoing experiments to measure EEG dynamics and physical movements performed by participants who are using software designed to invite physical and musical expression of the basic emotions. The present demonstration of this system incorporates an expressive gesture sonification system using a Leap Motion device, paired with an ambient music engine controlled by EEG-based affective indices. Our intention is to better understand affective engagement, by creating both a new musical interface to invite it, and a method to measure and monitor it. We are exploring the use of this device and protocol in therapeutic settings in which mood recognition and regulation is a primary goal.

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