Title :
Divergent common spatial patterns method
Author :
Duman, Mecit Emre ; Yuksel, Ayhan ; Olmez, Tamer
Author_Institution :
Elektron. ve Haberlesme Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul, Turkey
Abstract :
In this study, a novel method called DIVCSP is proposed that can be a good alternative to the spatial filtering methods which are used to have a good discrimination between different classes in motor imagery based brain computer interfaces. With DIVCSP method spatial filters that increase between classes scattering while decreasing in-class scattering can be obtained thus, the classification accuracy can be increased. The classification results obtained with DIVCSP show that, proposed method is a good alternative to CSP method which is widely popular.
Keywords :
brain-computer interfaces; image classification; spatial filters; DIVCSP method; brain computer interface; classification accuracy; divergent common spatial patterns method; in-class scattering; motor imagery; spatial filtering method; Brain-computer interfaces; Electroencephalography; Neural engineering; Neurophysiology; Scattering; Spatial filters; Brain computer interface; CSP; Divergence; Motor imagery;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129898