Multi-Node Shell utilizes biosensors to explore sound potential as a language through body movement perception. It detects muscle activity and motor dynamics in areas conducive to functional movements. Neural networks process sensor data, serving a dual role: teaching the machine expressive body-sound associations and recognizing behavioral states affecting software and sound. This machine learning model allows parameter interpolations during transitions in state.

Photo: Courtesy of the artist, Luca Pagan 2023