Corpus ID: 17074036

A History of Emerging Paradigms in EEG for Music

@inproceedings{Christopher2014AHO,
  title={A History of Emerging Paradigms in EEG for Music},
  author={Kameron R. Christopher and Ajay Kapur and Dale Anthony Carnegie and Gina M. Grimshaw},
  booktitle={ICMC},
  year={2014}
}
  • Kameron R. Christopher, Ajay Kapur, +1 author Gina M. Grimshaw
  • Published in ICMC 2014
  • Computer Science
  • In recent years, strides made in the development of BrainComputer Interface (BCI) technology have foreseen a contemporary evolution in the way we create music with Electroencephalography (EEG). The development of new BCI technology has given musicians the freedom to take their work into new domains for music and art making. However, a fundamental challenge for artists using EEG in their work has been expressivity. In this paper, we demonstrate how emerging paradigms in EEG music are dealing… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 48 REFERENCES

    Accounting for the Transcendent in Technological Art

    • K. Christopher
    • California Institute of the Arts, 2013.
    • 2013
    VIEW 2 EXCERPTS

    Carnegie, “Interactive Sound Synthesis Mediated through Computer Networks.

    • K. R. Christopher, J. He, A. Kapur, A D.
    • Proceedings of Symposium on Sound and Interactivity,
    • 2013
    VIEW 1 EXCERPT

    Câmara Neuronal: a Neuro/Visual/Audio Performance

    • J. M. Moura, A. L. Canibal, M. P. Guimaraes, P. Branco
    • Proceedings of xCoAx2013: Computation Communication Aesthetics and X (2013).
    • 2013
    VIEW 1 EXCERPT

    Decomposing Electric Brain Potentials for Audification on a Matrix of Speakers.

    • T. von der Malsburg, C. Illing
    • Proceedings of xCoAx2013: Computation Communication Aesthetics and X
    • 2013
    VIEW 1 EXCERPT

    Implementing 3D visualizations of EEG signals in artistic applications

    VIEW 1 EXCERPT