Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System - IFIP - Lecture Notes in Computer Science Access content directly
Conference Papers Year : 2021

Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System

Abstract

In the Brain Computer Interface domain, studies on EEG represent a huge field of interest. Interactive systems that exploit low cost electroencephalographs to control machines are gaining momentum. Such technologies can be useful in the field of music and assisted composition. In this paper, a system that aims to generate four-part polyphonies is proposed. An artificial intelligence algorithm permits to generate polyphonies based on the N. Slonimsky’s theory by elaborating data coming from a Leap Motion device, to detect user’s hand movement, and a five-channel EEG signal detection device.
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hal-04291195 , version 1 (17-11-2023)

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Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, Eugenio Di Sciascio. Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System. 18th IFIP Conference on Human-Computer Interaction (INTERACT), Aug 2021, Bari, Italy. pp.368-371, ⟨10.1007/978-3-030-85607-6_39⟩. ⟨hal-04291195⟩
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