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Massachusetts Institute of Technology

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

Abstract

dc:description.abstract

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.

Degree

thesis:*
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Goodman, Daniel Hayim
Advisor dc:contributor.advisor
  • Kent Larson.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/98643
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/98643

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Goodman, Daniel Hayim. Aware surfaces : large-scale, surface-based sensing for new modes of data collection, analysis, and human interaction. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98643