Title: RFID-based user profiling of fashion preferences: blueprint for a smart wardrobe

Authors: Sea Ling, Maria Indrawan, Seng W. Loke

Addresses: Faculty of Information Technology, Monash University, Caulfield East 3145, Melbourne, Australia. ' Faculty of Information Technology, Monash University, Caulfield East 3145, Melbourne, Australia. ' Department of Computer Science and Computer Engineering, La Trobe University, Bundoora 3086, Melbourne, Australia

Abstract: In this paper, we explore the possibility of generating user profiles of fashion preferences from information captured by RFID technology. Proposing a design of a smart wardrobe, we investigate the appropriateness of the technology as an identification tool of real objects and to aid in detecting and tracking real objects movements. We then present a model of user fashion profile, which is generated through queries and data mining techniques. In order to illustrate the usefulness and real world feasibility of our proposed model, we build a working prototype as proof of concept. For evaluation purposes, we have created a random generator, which is able to generate random clothing items and dressing events that serve as input to our model for creating user profiles. Our experimental results clearly indicate that RFID technology is suitable to aid in creating smart systems.

Keywords: RFID technology; user profiling; smart wardrobe; fashion preferences; radio frequency identification; data mining; dressing preferences.

DOI: 10.1504/IJIPT.2007.016217

International Journal of Internet Protocol Technology, 2007 Vol.2 No.3/4, pp.153 - 164

Available online: 09 Dec 2007 *

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