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IFIP Conference on Human-Computer Interaction

INTERACT 2021: Human-Computer Interaction – INTERACT 2021 pp 309–312Cite as

A Biofeedback System to Compose Your Own Music While Dancing

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12936))

Abstract

Brain Computer Interfaces can enable engaging interactions between different art forms such as music, dance, painting. Building on this, we present a demo of a biofeedback system: a dancer wearing a NeuroSky headset adapts her performance according to the music she listens to. The same music has been generated by a music-composition software depending on her own real-time mental status represented by different fluctuations of some EEG parameters.

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Notes

  1. 1.

    The cables connected to the dancer’s wrists, as well as the light strips on the headset are only for choreographic reasons and do not have any further technical implication.

References

  1. Wagner, M.J.: Brainwaves and BioFeedback. A brief history-implication for music research. J. Music Therapy 12(2), 46–58 (1975)

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  2. NeuroSky EEG device. http://neurosky.com/biosensors/eeg-sensor

  3. Neurosky: NeuroSky’s eSense™ Meters and Detection of Mental State (2009)

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  4. Tyagi, A., Semwal, S., Shah, G.: A review of EEG sensors used for data acquisition. Int. J. Comput. Appl. (2012)

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  5. Bronzino, J.D.: Principles of electroencephalography. In: Bronzino, J.D. (ed,) The Biomedical Engineering – Handbook, Second Edition. CRC Press LLC, Boca Raton (2000)

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Acknowledgments

The authors acknowledge partial support of the following projects: PON Casa delle tecnologie emergenti di Matera “CTEMT” (CUP I14E20000020001), Servizi Locali 2.0, PON ARS01_00876 Bio-D, PON ARS01_00821 FLET4.0, PON ARS01_00917 OK-INSAID, H2020 PASSPARTOUT.

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Authors and Affiliations

  1. Politecnico di Bari, Via E. Orabona 4, 70125, Bari, Italy

    Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia & Eugenio Di Sciascio

Authors
  1. Carmelo Ardito
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  2. Tommaso Colafiglio
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  3. Tommaso Di Noia
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  4. Eugenio Di Sciascio
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Corresponding author

Correspondence to Carmelo Ardito .

Editor information

Editors and Affiliations

  1. Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy

    Carmelo Ardito

  2. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Rosa Lanzilotti

  3. Computer Science Department, University of Pisa, Pisa, Italy

    Alessio Malizia

  4. Department of Computer Science, University of York, York, UK

    Helen Petrie

  5. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  6. Computer Science Department, University of Bari Aldo Moro, Bari, Italy

    Giuseppe Desolda

  7. Microsoft Research, Redmond, WA, USA

    Kori Inkpen

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© 2021 IFIP International Federation for Information Processing

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Cite this paper

Ardito, C., Colafiglio, T., Di Noia, T., Di Sciascio, E. (2021). A Biofeedback System to Compose Your Own Music While Dancing. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12936. Springer, Cham. https://doi.org/10.1007/978-3-030-85607-6_27

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  • DOI: https://doi.org/10.1007/978-3-030-85607-6_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85606-9

  • Online ISBN: 978-3-030-85607-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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