BCHJam: a Brain-Computer Music Interface for Live Music Performance in Shared Mixed Reality Environments

To date, the integration of brain-computer interfaces and mixed reality headsets in Internet of Musical Things (IoMusT) performance ecosystems has received remarkably little attention from the research community. To bridge this gap, in this paper, we present BCHJam: an IoMusT-based performance ecosystem composed of performers, audience members, brain- computer interfaces, smart musical instruments, and mixed reality headsets. In BCHJam, one or more musicians are fitted with a brain-computer music interface (BCMI) giving them the possibility to actively or passively control the processing of their instrument's audio. Moreover, the BCMI's signal controls mixed reality visual effects displayed in XR headsets worn by audience members. All the components of BCHJam communicate through a Wi-Fi network via Open Sound Control messages. We refined the system through a series of test performance sessions, resulting in the creation of a signal quality filter that improved the musician's experience, along with a tuning of control parameters. The developed ecosystem was validated by realizing a musical performance. We provide a critical reflection on the achieved results and discuss the lessons learned while developing this first of its kind IoMusT performance ecosystem.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/is262782.2024.10704087
Citations
3
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.03

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article

BCHJam: a Brain-Computer Music Interface for Live Music Performance in Shared Mixed Reality Environments

Luca Turchet, Michele Romani, Alberto Boem, Domenico Stefani et al.
3 citations
EEG and Brain-Computer Interfaces
1.03
article

BCHJam: a Brain-Computer Music Interface for Live Music Performance in Shared Mixed Reality Environments

Luca Turchet, Michele Romani, Alberto Boem, Domenico Stefani, Gregorio Andrea Giudici, Devis Zanoni
article en
3 citations

Abstract

To date, the integration of brain-computer interfaces and mixed reality headsets in Internet of Musical Things (IoMusT) performance ecosystems has received remarkably little attention from the research community. To bridge this gap, in this paper, we present BCHJam: an IoMusT-based performance ecosystem composed of performers, audience members, brain- computer interfaces, smart musical instruments, and mixed reality headsets. In BCHJam, one or more musicians are fitted with a brain-computer music interface (BCMI) giving them the possibility to actively or passively control the processing of their instrument's audio. Moreover, the BCMI's signal controls mixed reality visual effects displayed in XR headsets worn by audience members. All the components of BCHJam communicate through a Wi-Fi network via Open Sound Control messages. We refined the system through a series of test performance sessions, resulting in the creation of a signal quality filter that improved the musician's experience, along with a tuning of control parameters. The developed ecosystem was validated by realizing a musical performance. We provide a critical reflection on the achieved results and discuss the lessons learned while developing this first of its kind IoMusT performance ecosystem.

University of Trento (IT)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 24%
EEG and Brain-Computer Interfaces
1.03
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