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.
Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System / Ardito, C.; Colafiglio, T.; Di Noia, T.; Di Sciascio, E. (LECTURE NOTES IN COMPUTER SCIENCE). - In: Lecture Notes in Computer ScienceGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND : Springer Science and Business Media Deutschland GmbH, 2021. - ISBN 9783030856069. - pp. 368-371 [10.1007/978-3-030-85607-6_39]
Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System
Ardito C.;Colafiglio T.;Di Noia T.;Di Sciascio E.
2021
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
