• DocumentCode
    61678
  • Title

    ElectroEncephaloGraphics: Making Waves in Computer Graphics Research

  • Author

    Mustafa, M. ; Magnor, Marcus

  • Author_Institution
    Tech. Univ. Braunschweig, Braunschweig, Germany
  • Volume
    34
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov.-Dec. 2014
  • Firstpage
    46
  • Lastpage
    56
  • Abstract
    Electroencephalography (EEG) is a novel modality for investigating perceptual graphics problems. Until recently, EEG has predominantly been used for clinical diagnosis, in psychology, and by the brain-computer-interface community. Researchers are extending it to help understand the perception of visual output from graphics applications and to create approaches based on direct neural feedback. Researchers have applied EEG to graphics to determine perceived image and video quality by detecting typical rendering artifacts, to evaluate visualization effectiveness by calculating the cognitive load, and to automatically optimize rendering parameters for images and videos on the basis of implicit neural feedback.
  • Keywords
    data visualisation; electroencephalography; neural nets; rendering (computer graphics); EEG; ElectroEncephaloGraphics; brain-computer-interface; clinical diagnosis; cognitive load; computer graphics research; direct neural feedback; electroencephalography; graphics applications; implicit neural feedback; perceived image quality; perceived video quality; psychology; rendering artifacts; visualization effectiveness; Biomedical image processing; Computer vision; Electrodes; Electroencephalography; Image coding; Rendering (computer graphics); Video sequences; Visualization; EEG; aesthetics; computer graphics; graphics; perception; rendering; visualization;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2014.107
  • Filename
    6894489