2026-09-18T19:34:44Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/611362022-01-13T07:55:04Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
John Maeda.
Galbraith, Megan Lee, 1979-
Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2011-02-23T14:18:34Z
2011-02-23T14:18:34Z
2003
2003
http://hdl.handle.net/1721.1/61136
53364619
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2003.
Includes bibliographical references (leaves [109]-111).
In an age where identity is increasingly fluid and multifaceted, the static clothing and unresponsive materials we wear are often an insufficient means of expression. Clothing designers want to create systems of clothing that react, collect information, and enrich our interactions with spaces and people; however, technical barriers inhibit designers interested in building computational garments. Designers need a tool that is attainable and usable in order to successfully work in the field of computational garment design. This thesis introduces a powerful, intuitive tool named Zuf which provides a new approach to control embedded devices using fuzzy logic. Zuf is a prototyping and simulation environment for programming and testing embedded devices. Users write code by establishing simple, natural language rules. The rules are translated into fuzzy algorithms which run on the devices. Zuf enables fashion designers to think abstractly about computation as a medium.
Megan Lee Galbraith.
S.M.
115 leaves
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Architecture. Program In Media Arts and Sciences.
Embedded systems for computational garment design
Thesis
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