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abstract

Music for Various Groups of Performers (After Lucier): An Improvised Electroencephalographic Group Performance

Published:22 June 2017Publication History

ABSTRACT

Music for Various Groups of Performers (After Lucier) (MfVGoP) is an experimental audio-visual improvised group performance employing sonified electroencephalographic (EEG) signals and computer music. The data generated by performers' brain waves are used as control parameters for custom built audio software using the Pure Data (Pd) environment. The piece explores and investigates group and individual dynamics within a performance context. The title references composer Alvin Lucier's 1965 work Music for Solo Performer in which the composer attempted to control electro-acoustic instruments via EEG signals produced by his brain. In contrast Music for Various Groups of Performers (After Lucier) investigates the roles of individuals and small groups through the context of EEG monitored performance considering the individual performers, their relationships with each other and the audience as well as their interaction with the technology.

References

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  1. Music for Various Groups of Performers (After Lucier): An Improvised Electroencephalographic Group Performance

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    • Published in

      cover image ACM Conferences
      C&C '17: Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition
      June 2017
      584 pages
      ISBN:9781450344036
      DOI:10.1145/3059454
      • General Chairs:
      • David A. Shamma,
      • Jude Yew,
      • Program Chair:
      • Brian Bailey

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 June 2017

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      Acceptance Rates

      C&C '17 Paper Acceptance Rate27of94submissions,29%Overall Acceptance Rate108of371submissions,29%

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