Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction

Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2015.

Bibliographic Details
Main Author: Goodman, Daniel Hayim
Other Authors: Kent Larson.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/98643
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author Goodman, Daniel Hayim
author2 Kent Larson.
author_facet Kent Larson.
Goodman, Daniel Hayim
author_sort Goodman, Daniel Hayim
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2015.
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spelling mit-1721.1/986432022-01-18T17:01:38Z Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction Large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction Goodman, Daniel Hayim Kent Larson. Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Architecture. Program in Media Arts and Sciences. Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 152-158). This thesis describes the design and construction of pressure sensing matrices for capturing human location and activity data from large surfaces in a space such as the floors, walls, tabletops, countertops, and furniture. With the ability to operate either alone or connected to others in an assembly, each sensor module is 0.3m x 2m, contains 512 force sensitive resistors, and has a refresh rate of about 8Hz. Each module was made with conductive inkjet printing and PCB fabrication, creating a low-profile sensing surface with robust signal-collecting circuitry. Several experiments were conducted on an assemblage of three modules to assess parameters such as response time, sensitivity, measurement repeatability, spatial and pressure resolution, and accuracy in analyzing walking data as compared to a camera. Applications that could employ such a system are explored and two visualizations were prototyped that could ambiently provide data and trends to a user. by Daniel Hayim Goodman. S.M. 2015-09-17T19:01:48Z 2015-09-17T19:01:48Z 2015 2015 Thesis http://hdl.handle.net/1721.1/98643 920678120 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 193, [1] pages application/pdf Massachusetts Institute of Technology
spellingShingle Architecture. Program in Media Arts and Sciences.
Goodman, Daniel Hayim
Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction
title Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction
title_full Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction
title_fullStr Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction
title_full_unstemmed Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction
title_short Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction
title_sort aware surfaces large scale surface based sensing for new modes of data collection analysis and human interaction
topic Architecture. Program in Media Arts and Sciences.
url http://hdl.handle.net/1721.1/98643
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