ct 20(22): e3

Research Article

Bioelectric signals of the body: from electronic engineering to artistic performance

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  • @ARTICLE{10.4108/eai.13-7-2018.163481,
    author={A. C. Ceriani and R. Madou and M. A. Haberman and E. M. Spinelli},
    title={Bioelectric signals of the body: from electronic engineering to artistic performance},
    journal={EAI Endorsed Transactions on Creative Technologies},
    volume={7},
    number={22},
    publisher={EAI},
    journal_a={CT},
    year={2020},
    month={1},
    keywords={interactive performance, bioelectric sensing, Internet of Things},
    doi={10.4108/eai.13-7-2018.163481}
}
  • A. C. Ceriani
    R. Madou
    M. A. Haberman
    E. M. Spinelli
    Year: 2020
    Bioelectric signals of the body: from electronic engineering to artistic performance
    CT
    EAI
    DOI: 10.4108/eai.13-7-2018.163481
A. C. Ceriani1,*, R. Madou2, M. A. Haberman2, E. M. Spinelli2
  • 1: Facultad de Artes, Universidad Nacional de La Plata, La Plata, Argentina. Posgrado de la Universidad de Tres de Febrero, Argentina
  • 2: Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales LEICI (UNLP-CONICET), Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional de La Plata, La Plata, Argentina
*Contact email: aceriani@gmail.com

Abstract

This paper aims to present the experience of the use of bioelectric signals, particularly those present in the muscles (EMG: electromyogram), to link an artist with his/her environment by producing sound and video images according to these signals. For this purpose, a device that works like an instrument the performer executes acting on his/her muscles was developed and built. It produces OSC messages, a protocol commonly used by media artists, according to the intensity of the EMG signals the performer produces, thus providing direct communication with the audience. Two presentations were made with the proposed scheme, which allowed to observe the sensations of the artist and the public, as well as their interactions.

Keywords
interactive performance, bioelectric sensing, Internet of Things
Received
2020-01-07
Accepted
2020-01-14
Published
2020-01-22
Publisher
EAI
http://dx.doi.org/10.4108/eai.13-7-2018.163481

Copyright © 2020 A.C. Ceriani et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.