SensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystem

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.

Bibliographic Details
Main Author: Lynch, Evan F
Other Authors: Joseph A. Paradiso.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1721.1/105978
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author Lynch, Evan F
author2 Joseph A. Paradiso.
author_facet Joseph A. Paradiso.
Lynch, Evan F
author_sort Lynch, Evan F
collection MIT
description Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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spelling mit-1721.1/1059782019-04-11T07:22:51Z SensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystem Sensor Chimes : musical mapping for sensor networks toward augmented acoustic ecosystem Musical mapping for sensor networks toward augmented acoustic ecosystem Lynch, Evan F Joseph A. Paradiso. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 51-53). SensorChimes aims to create a new canvas for artists leveraging ubiquitous sensing and data collection. The Tidmarsh Living Observatory Initiative, which is documenting the transformation of a reclaimed cranberry bog with a large-scale sensor deployment, provides an opportunity to explore data-driven musical composition based on large-scale environmental sensor networks. This thesis presents a framework that facilitates musical mappings for such sensor networks. A library of C-externals called ChainFlow for the graphical programming language Max/MSP that provides an interface to real-time and historical data for large sensor deployments was designed and implemented. This thesis envisions musical mapping for sensor networks as a tool for augmenting presence and telepresence in real and virtual worlds, by adding to the acoustic ecosystem. Physical processes are manifested as musical ideas rendering an ambient display. The ChainFlow library along with spatial audio techniques were used to create immersive musical compositions that are complemented by a graphical 3D virtual world. These works, driven by the sensor network deployed at Tidmarsh, are presented as case studies in augmented presence through musical mapping. by Evan F. Lynch. M. Eng. 2016-12-22T15:17:13Z 2016-12-22T15:17:13Z 2016 2016 Thesis http://hdl.handle.net/1721.1/105978 965648436 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 60 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Lynch, Evan F
SensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystem
title SensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystem
title_full SensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystem
title_fullStr SensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystem
title_full_unstemmed SensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystem
title_short SensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystem
title_sort sensorchimes musical mapping for sensor networks toward augmented acoustic ecosystem
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/105978
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