MaxMuse: Brain signals for real-time musical applications - Archive ouverte HAL Access content directly
Preprints, Working Papers, ... Year : 2023

MaxMuse: Brain signals for real-time musical applications

Abstract

Using electroencephalographic signals (EEG) for music creation has a long and distinguished history. Here, we introduce MaxMuse, an open-source streamlined system combining a low-cost, consumer-grade EEG headset (Muse2, InteraXon) and a widely used real-time graphical programming language (Max/MSP, Cycling'74). Pilot benchmarks show that the system is appropriate to process so-called "alpha waves", often used in brain-computer interfaces, but also auditory-evoked responses. Overall, we suggest that MaxMuse may facilitate novel interactive musical applications for which EEG signals can easily be collected from the composer, performer, or even from the audience.
Fichier principal
Vignette du fichier
MaxMuse_Hal.pdf (198.59 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04368811 , version 1 (01-01-2024)

Identifiers

  • HAL Id : hal-04368811 , version 1

Cite

Léo Chédin, Giorgia Cantisani, Benoît Montigné, Daniel Pressnitzer. MaxMuse: Brain signals for real-time musical applications. 2023. ⟨hal-04368811⟩
20 View
13 Download

Share

Gmail Facebook X LinkedIn More