ElectroEncephaloGraphics: Making Waves in Computer Graphics Research
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.
Author(s): | Maryam Mustafa, Marcus Magnor |
---|---|
Published: | November 2014 |
Type: | Article |
Journal: | IEEE Computer Graphics and Applications Vol. 34 |
Project(s): | Reality CG Video Quality Assessment ElectroEncephaloGraphics |
@article{eeg_cga, title = {ElectroEncephaloGraphics: Making Waves in Computer Graphics Research}, author = {Mustafa, Maryam and Magnor, Marcus}, journal = {{IEEE} Computer Graphics and Applications}, volume = {34}, number = {6}, pages = {46--56}, month = {Nov}, year = {2014} }
Authors
Maryam Mustafa
Fmr. Senior ResearcherMarcus Magnor
Director, Chair