• DocumentCode
    2193024
  • Title

    Chapter 8: Sketching Expressive Visualization of a Natural Phenomenon: Ultra-violet Individual Exposure Estimation

  • Author

    Moccozet, Laurent ; Cao, Alexandre ; Milon, Antoine ; Droz, Pierre-Olivier ; Vernez, David ; Bulliard, Jean-Luc

  • Author_Institution
    Univ. of Geneva, Geneva
  • fYear
    2008
  • fDate
    9-11 July 2008
  • Firstpage
    47
  • Lastpage
    52
  • Abstract
    The research presented in this paper aims at developing and validating a predictive tool of individual exposure to solar Ultra-Violet (UV). UV exposure depends on ambient irradiation level and individual factors related to activity (position to the sun, clothing, duration of exposure, and other forms of sun protection). We predict exposure levels of body parts on basis of ambient irradiation levels and information about postural activity. The prediction system uses existing techniques in the field of 3D rendering to visually sketch an accurate estimation of the exposure distribution over body parts represented as a 3D triangular mesh. The results are compared against individual dosimetric measurements. Our approach is based on the similarities between our assumptions about the individual UV exposure model and the rendering of 3D computer generated scenes.
  • Keywords
    data visualisation; medical computing; mesh generation; natural scenes; rendering (computer graphics); ultraviolet radiation effects; 3D rendering; 3D triangular mesh; ambient irradiation level; expressive visualization; ultraviolet individual exposure estimation; Biological system modeling; Computational modeling; Humans; Layout; Medical simulation; Pollution measurement; Predictive models; Skin cancer; Sun; Visualization; natural phenomenon; rendering; simulation; virtual human; visibility; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geometric Modeling and Imaging, 2008. GMAI 2008. 3rd International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-0-7695-3270-7
  • Type

    conf

  • DOI
    10.1109/GMAI.2008.14
  • Filename
    4568605