DocumentCode :
3646290
Title :
A bimodal approach to brain-computer interaction measurements
Author :
Katarzyna Kaszuba;Bożena Kostek
Author_Institution :
Gdań
fYear :
2011
Firstpage :
1
Lastpage :
6
Abstract :
In this paper experiments that integrate EEG signal analysis with information about human visual activities are presented. For this purpose the capability of EEG- and the eye tracking-based measurement results were combined. The search for the correlation between the brain activity and the region of the screen observed by the user was performed. Electrooculography (EOG) signals obtained in a series of experiments served as reference knowledge. An attempt to fuse this knowledge with the EEG signal analysis is described and several approaches for signal preprocessing and parameterization are presented.
Keywords :
"Electrodes","Electroencephalography","Electrooculography","Correlation","Vegetation","Radio frequency","Algorithm design and analysis"
Publisher :
ieee
Conference_Titel :
Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), 2011
Print_ISBN :
978-1-4577-1486-3
Type :
conf
Filename :
6190948
Link To Document :
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