Opportunities for human-interfaced capacitive sensing in building environments
Name
932735044-MIT.pdf
Description
Full printable version
Size
29.63 MB
Format
Adobe PDF
Checksum (MD5)
e94d75c47b2239b6cd9673724b1e8748
Author(s)
Sennett, Brian (Brian R.)
Advisor(s)
Peter Lindahl and Steven B. Leeb.
Date Issued
2015
Publisher
Massachusetts Institute of Technology
Abstract
This work presents several types of novel long-range capacitive sensors that enable better detection of how people move through buildings, presenting ample opportunity for smart lighting and utility control. Various arrangements of sensors on walls, ceilings, and floors turn building surfaces into sensor systems. These systems offer presence and motion detection, and each sensor can also act as a short-range imaging and material detection device. The ability to detect materials in occupants enables this sensor system to act as a non-intrusive security scanning device, improving the confidence of security personnel and easing concerns of travelers and building occupants. Each component of the sensor is modeled physically for electrostatic simulations, and electrically in circuit form. These accurate simulations validate experimental data and confirm a lumped-capacitance system model, as well as provide a tool for designing sensor systems prior to installation.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
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 143-144).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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