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
Link To Document :
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