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Pré-Publication, Document De Travail Année : 2023

MaxMuse: Brain signals for real-time musical applications

Résumé

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.
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Dates et versions

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

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  • HAL Id : hal-04368811 , version 1

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