• DocumentCode
    2005941
  • Title

    Experimentally based assessment of signal transmition in human retina

  • Author

    Ieva, Sliesoraityte ; Ruta, Dubakiene ; Eugene, Fedorov ; Viktorija, Sliesoraitiene

  • Author_Institution
    Vilnius Univ., Vilnius, Lithuania
  • fYear
    2011
  • fDate
    24-25 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Visual pathway assessment is of the main importance for intelligent systems associated with robotic. In this paper we analyze the techniques for signal transmission assessment. Visual information processing analysis is based on kinetic energy exchange in vivo, i.e. experiments are dealing with blood flow indices and retinal layers in human retina. The significant features of equation related to kinetic energy exchange were identified. Decision-making system was applied following significant features extraction and neural network was developed, which improves the reliability of robot motion control. The proposed approach might be applied for intelligent robotic systems, i.e. computer vision.
  • Keywords
    decision making; eye; feature extraction; haemodynamics; intelligent robots; motion control; neural nets; reliability; robot vision; blood flow indices; computer vision; decision making system; feature extraction; feature identification; human retina; intelligent robotic system; kinetic energy exchange; neural network; retinal layers; robot motion control reliability; signal transmission assessment; visual information processing analysis; visual pathway assessment; Artificial neural networks; Polarimetry; Robots; Traffic control; features of a state of a retina; kinetic energy; method of diagnostics; transmission visual signal; visual analyzer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-Shenzhen), 2011
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-7951-1
  • Electronic_ISBN
    978-1-4244-7949-8
  • Type

    conf

  • DOI
    10.1109/PHM.2011.5939526
  • Filename
    5939526