• DocumentCode
    3125531
  • Title

    Developing a smart wardrobe system

  • Author

    Goh, Kim Nee ; Chen, Yoke Yie ; Lin, Elvina Syn

  • Author_Institution
    Dept. of Comput. Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    303
  • Lastpage
    307
  • Abstract
    The language of clothing has become more intricate and personal as more wearable technologies are being introduced into our lives. Either male or female of all age groups are spending more time choosing the right apparel to appear more presentable to impress their colleagues, superiors, customers, family and friends. However, to deal with choosing the right garment for the right occasion could be frustrating and time consuming. In this paper, we propose a system that is able to better manage their collection of garments by considering the users´ choice of colors, styles, events and emotion. Target users are busy entrepreneurs and color blind people. Radio frequency identification (RFID) technology was integrated into the garment and a prototype system was developed to trace the movement of the garments in the wardrobe. The RFID tag contains data regarding the clothes which will be captured and stored in the system. With the use of RFID technology, the system is able to assist users in better decision making and eases the users.
  • Keywords
    clothing; decision making; radiofrequency identification; RFID technology; decision making; prototype system; radio frequency identification technology; smart wardrobe system; Clothing; Computers; Databases; Image color analysis; Mood; Prototypes; Radiofrequency identification; RFID; clothing; color blind; entrepreneurs; fashion; garment; smart wardrobe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2011 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8789-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2011.5766478
  • Filename
    5766478