• DocumentCode
    1753916
  • Title

    Bio-inspired visual user detection for intelligent interface

  • Author

    Han, W. ; Han, I.S.

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2011
  • fDate
    21-23 Feb. 2011
  • Firstpage
    121
  • Lastpage
    123
  • Abstract
    This paper describes the bio-inspired visual detection for the smart user experience based on neuromorphic system, mimicking the visual cortex. The neuromorphic system is investigated for visual detection of users and their reaction, based on the VLSI neurons and synapses by CMOS conductance and Hodgkin-Huxley formalism. The proposed neuromorphic system exhibits the biologically plausible intelligent function mimicking the cat´s visual cortex experimentation of Hubel and Wiesel. The feasibility of bio-inspired vision is evaluated by visual detection of human head or pose under the limited natural environment. The visual detection in various environments of on-vehicle, glossy indoors, or dark conference room demonstrates as smart user interface to extend the internet service to IPTV as the smart phone of high user acceptance smart phone, with the robust function applicable to enhance the secure operation.
  • Keywords
    CMOS integrated circuits; IPTV; VLSI; mobile computing; neural nets; pose estimation; CMOS conductance; Hodgkin-Huxley formalism; IPTV; Internet service; VLSI neurons; bio-inspired visual user detection; biologically plausible intelligent function mimicking; cats visual cortex experimentation; human head visual detection; intelligent interface; neuromorphic system; pose detection; user acceptance smart phone; Artificial intelligence; Brain modeling; Humans; Neuromorphics; Neurons; Robustness; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Security (WorldCIS), 2011 World Congress on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-8879-7
  • Electronic_ISBN
    978-0-9564263-7-6
  • Type

    conf

  • Filename
    5749895