• DocumentCode
    1728059
  • Title

    EVANS 3: Home appliance control system with appliance authentication framework using Augmented Reality technology

  • Author

    Mihara, Satoshi ; Kawai, Kunihiro ; Shimada, Hiroki ; Sato, Kiminori

  • Author_Institution
    Dept. of Inf. Syst. Design, Doshisha Univ., Kyotanabe, Japan
  • fYear
    2013
  • Firstpage
    849
  • Lastpage
    850
  • Abstract
    The popularity of home appliances continues to increase that can interconnect with other appliances through networks. For users who want to identify the network home appliances they want to operate, their operation is complex and difficult since their locations are not represented within the operating system. We propose Embodied Visualization with Augmented Reality for Networked System 3 (EVANS 3) to solve operation problems with obvious and intuitive controls by implementing augmented reality (AR) technology. We implemented our proposed LED Marker instead of the use of graphical images (image markers) as the AR markers to identify the network home appliance´s location at any distant and altering light environments. By dynamically operating LED Markers, we can achieve a comfortable and effective appliance authentication environment for suitable operating conditions.
  • Keywords
    augmented reality; control engineering computing; data visualisation; home automation; home networks; light emitting diodes; networked control systems; AR technology; EVANS 3; Embodied Visualization with Augmented Reality for Networked System 3; LED marker; appliance authentication framework; augmented reality technology; authentication environment; graphical images; home appliance control system; network home appliance location; operating system; Augmented reality; Cameras; Home appliances; Home automation; Image processing; Light emitting diodes; Media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2013 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-3131-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2013.6488562
  • Filename
    6488562