Embedded systems for computational garment design

Abstract

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.