Show simple item record

dc.contributor.advisorPeter Lindahl and Steven B. Leeb.en_US
dc.contributor.authorSennett, Brian (Brian R.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-01-04T19:59:55Z
dc.date.available2016-01-04T19:59:55Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/100625
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.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 143-144).en_US
dc.description.abstractThis 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.en_US
dc.description.statementofresponsibilityby Brian Sennett.en_US
dc.format.extent144 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.titleOpportunities for human-interfaced capacitive sensing in building environmentsen_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.oclc932735044en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record