• DocumentCode
    3704723
  • Title

    Infants gaze pattern analyzing using contrast entropy minimization

  • Author

    Ali Mahdi;Matthew Schlesinger;Dima Amso;Jun Qin

  • Author_Institution
    Department of Electrical and Computer Engineering, Southern Illinois University, Carbondale, IL 62901
  • fYear
    2015
  • Firstpage
    106
  • Lastpage
    111
  • Abstract
    Statistical relationships between human vision and natural scene statistics have been addressed. Contrast is fundamental image property. We proposed that infant visual exploration and learning development could be analyzed using contrast entropy minimization. Ten infants viewed 16 naturalistic images. Fixations of the infants were recorded. Infant gaze patterns are compared between individual infants. Infants are compared to the fixations predicted by the contrast entropy minimization. The results show that infant tends to have different gaze patterns, and infant entropy drops gradually as fixations are made.
  • Keywords
    Robots
  • Publisher
    ieee
  • Conference_Titel
    Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 Joint IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/DEVLRN.2015.7346124
  • Filename
    7346124