Research Article
From the Body with the Body: Performing with a Genome-Based Musical Instrument
@ARTICLE{10.4108/eai.13-7-2018.163993, author={Francesco Ardan Dal R\'{\i} and Raul Masu and Mauro Graziani and Marco Roncador}, title={From the Body with the Body: Performing with a Genome-Based Musical Instrument}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={7}, number={23}, publisher={EAI}, journal_a={CT}, year={2020}, month={4}, keywords={human genome, interaction design, Digital Musical Instrument}, doi={10.4108/eai.13-7-2018.163993} }- Francesco Ardan Dal Rì
Raul Masu
Mauro Graziani
Marco Roncador
Year: 2020
From the Body with the Body: Performing with a Genome-Based Musical Instrument
CT
EAI
DOI: 10.4108/eai.13-7-2018.163993
Abstract
INTRODUCTION: In this paper we present Silico, a new Digital Musical Instrument which ideally represents the performer itself. This instrument is composed by two parts: an interface (a sensor glove), which relies on the movements of the performer’s hand, and a computational engine (a set of patches developed in Max 7), which generates sound events based on the genomic data of the performer.
OBJECTIVES: We want to propose a new reflection on the relation between the body and musical instruments. Moreover, we aim to investigate the voluntary and involuntary aspects of our body, intended as a starting point for a musical performance. As a metaphor of these two layers, we used here the hand and the genome of the performer.
METHODS: We have investigated our objectives through the whole design process of a Digital Musical Instrument, using a practice-based approach.
RESULTS: Our system is a multilayered composed instrument which maps its computational part and its interface on the performer’s body. Silico can be used as a standalone musical instrument to generate music in real time.
CONCLUSION: Our works shows a new path about the use of genomic data in a musical way, as a new perspective of human-computer interaction in a performative contexts.
Copyright © 2020 Francesco Ardan Dal Rì 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.