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.
Translated title of the contribution | Divergent common spatial patterns method |
---|---|
Original language | Turkish |
Title of host publication | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 612-615 |
Number of pages | 4 |
ISBN (Electronic) | 9781467373869 |
DOIs | |
Publication status | Published - 19 Jun 2015 |
Event | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015 |
Publication series
Name | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
---|
Conference
Conference | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
---|---|
Country/Territory | Turkey |
City | Malatya |
Period | 16/05/15 → 19/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.