An Interactive Modular System for Electrophysiological DMIs

Di Maggio, Francesco; Tanaka, Atau; Fierro, David and Whitmarsh, Stephen. 2023. 'An Interactive Modular System for Electrophysiological DMIs'. In: AM ’23: Embodied Sound in the Virtual. Edinburgh Napier University, United Kingdom 30 August - 1 September 2023. [Conference or Workshop Item]

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Abstract or Description

We present an interactive modular system built in Cycling ‘74 Max and interfaced with Grame’s FAUST for the purpose of analyzing, processing and mapping electrophysiological signals to sound. The system architecture combines an understanding of domain-specific (biophysiological) signal processing techniques with a flexible, modular and user-friendly interface. We explain our design process and decisions towards artistic usability, while maintaining a clear electrophysiological data flow. The system allows users to customize and experiment with different configurations of sensors, signal processing and sound synthesis algorithms, and has been tested in a range of different musical settings from user studies to concerts with a diverse range of musicians.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

https://doi.org/10.1145/3616195.3616226

Additional Information:

Funding: The project has been supported by funding from the Agence Nationale de la Recherche (ANR-21-CE38-0018).

"© 2023 Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record is available at, https://doi.org/10.1145/3616195.3616226."

Keywords:

Digital Musical Instruments (DMIs), Electroencephalogram (EEG), Electromyogram (EMG), FAUST, Interactive Music Systems, Max, Signal Processing, Sound Synthesis

Related URLs:

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
2023Accepted
11 October 2023Published

Event Location:

Edinburgh Napier University, United Kingdom

Date range:

30 August - 1 September 2023

Item ID:

38321

Date Deposited:

11 Feb 2025 11:21

Last Modified:

11 Feb 2025 11:55

URI:

https://research.gold.ac.uk/id/eprint/38321

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