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dc.contributor.advisorJoseph A. Paradiso.en_US
dc.contributor.authorLynch, Evan Fen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-12-22T15:17:13Z
dc.date.available2016-12-22T15:17:13Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/105978
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 51-53).en_US
dc.description.abstractSensorChimes 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.en_US
dc.description.statementofresponsibilityby Evan F. Lynch.en_US
dc.format.extent60 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleSensorChimes : musical mapping for sensor networks toward augmented acoustic ecosystemen_US
dc.title.alternativeSensor Chimes : musical mapping for sensor networks toward augmented acoustic ecosystemen_US
dc.title.alternativeMusical mapping for sensor networks toward augmented acoustic ecosystemen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc965648436en_US


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