Title :
SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances
Author :
Kalunga, Emmanuel ; Djouani, Karim ; Hamam, Yskandar ; Chevallier, Sylvain ; Monacelli, Eric
Author_Institution :
Dept. of Electr. Eng., Tshwane Univ. of Technol., Pretoria, South Africa
Abstract :
Brain Computer Interfaces (BCI) rely on brain waves signal, such as electro-encephalogram (EEG) recording, to endow a disabled user with non-muscular communication. Given the very low signal-to-noise ratio of EEG, a signal enhancement phase is crucial for ensuring decent performances in BCI systems. Several methods have been proposed for EEG signal enhancement, such as Independent Component Analysis, Common Spatial Pattern, and Principal Component Analysis. We show that Canonical Correlation Analysis (CCA), initially introduced to SSVEP-based BCI as a feature extraction method, is a good candidate for such preprocessing state. Evaluation is performed on a recording from 5 subjects during a BCI task based on Steady-State Visual Evoked Potentials (SSVEP). The authors demonstrate that CCA significantly improves classification performances in SSVEP-based BCIs.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; independent component analysis; medical signal processing; principal component analysis; signal classification; signal denoising; visual evoked potentials; BCI performances; EEG signal enhancement phase; SSVEP enhancement; brain computer interfaces; brain waves signal; canonical correlation analysis; classification performances; common spatial pattern; disabled user; electroencephalogram recording; feature extraction method; independent component analysis; nonmuscular communication; preprocessing state; principal component analysis; steady-state visual evoked potentials; very low signal-to-noise ratio; Ash; Correlation; Electroencephalography; Feature extraction; Support vector machines; Training; Visualization;
Conference_Titel :
AFRICON, 2013
Conference_Location :
Pointe-Aux-Piments
Print_ISBN :
978-1-4673-5940-5
DOI :
10.1109/AFRCON.2013.6757776