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.
Multi-Node Shell / Luca Pagan (IT), Photo: Luca Pagan
Luca Pagan (IT)
Luca Pagan (b. 1993, Venice) is a sound artist, performer and independent researcher focusing on the correlation between humans and emerging technologies. He aims to explore the expressive and communicative significance of music.