Title :
EEG alpha power: An indicator of visual fatigue
Author :
Naqvi, Syed Ali Arsalan ; Badruddin, Nasreen ; Malik, A.S. ; Hazabbah, Wan ; Abdullah, Baharudin
Author_Institution :
Electr. & Electron. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Abstract :
There have been reports that some people who watch 3D movies experience motion sickness symptoms. In this research work, the change in dynamics of mental activity of subjects is evaluated to understand the reason behind the sickness. Cortical activity of the brain recorded from subjects who watch a stimulus (movie) on 2D and 3D TV. We propose that brain waves recorded using EEG device can be analysed using signal processing techniques and statistical methods. This will help in distinguishing between viewers of 2D and 3D stimulus, as well as being helpful in finding brain related areas that are active during the prevalence of motion sickness.
Keywords :
cognition; electroencephalography; medical disorders; medical signal processing; neurophysiology; signal classification; statistical analysis; three-dimensional television; visual evoked potentials; visual perception; 2D TV watching; 2D stimulus viewer classification; 3D TV watching; 3D movie watching effect; 3D stimulus viewer classification; EEG alpha wave; EEG device; brain cortical activity recording; brain wave recording analysis; mental activity dynamics; motion sickness prevalence; motion sickness related brain areas; motion sickness symptoms; signal processing techniques; statistical methods; visual fatigue indicator; Electrodes; Electroencephalography; Fatigue; Motion pictures; Three-dimensional displays; Virtual reality; Visualization; Alpha Power; Electroencephalography; Motion Sickness; Visual Fatigue;
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-4654-9
DOI :
10.1109/ICIAS.2014.6869452