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.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2015
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Online Access: | http://hdl.handle.net/1721.1/98643 |
_version_ | 1811073238930817024 |
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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. |
first_indexed | 2024-09-23T09:30:25Z |
format | Thesis |
id | mit-1721.1/98643 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T09:30:25Z |
publishDate | 2015 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
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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