Title:
Metopia: experiencing complex environmental data through sound
Metopia: experiencing complex environmental data through sound
Author(s)
Sjuve, Eva
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Abstract
This extended abstract describes Metopia, a research project
in the early stages of progress, a wireless sensor network for
urban spaces, to aquire a complex set of data from the
environment for the purpose of making a sound composition.
The programming language Pure Data is used to create a
sound composition from the aquired data. This research
project is using a real-world problem such as air-pollution as
a way to explore a responsive environment, to communicate
the state of the toxic level into an immediate auditory
response. Atmospheric pollutants is a major health issue and
Metopia is one way of examining this problem through
aesthetic and conceptual choices and at the same time making
sense of complex data through generative principles and
through algorithms. The composition is using Pure Data on
embedded Raspberry Pi 2 equipped with ARM processors for
real-time processing, coupled with an array of sensors using
Arduino for data acquisition.
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Date Issued
2015-07
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Resource Type
Text
Resource Subtype
Proceedings
Rights Statement
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License..