TY - GEN
T1 - Eeg siniflama i̇çi̇n bi̇r özni̇teli̇k fi̇ltreleme uygulamasi
AU - Alban, Yasemin
AU - Ayhan, Tuba
AU - Varol, Onur
AU - Yalçin, Müştak Erhan
PY - 2011
Y1 - 2011
N2 - In this paper, a feature filtering algorithm for braincomputer interface which includes classification of EEG data is proposed. By this method, the features are evaluated according to a criterion based on the Mahalanobis distance between the classes. For some EEG data classification problems, the problem may be determining the features to be extracted, however for the problem of distinguishing between right, left and forward movement imagination, the features that most benefits in classification cannot be determined beforehand. Therefore, features are selected method from a set of all possible features by the proposed filtering to increase the performance and speed of the classifier.
AB - In this paper, a feature filtering algorithm for braincomputer interface which includes classification of EEG data is proposed. By this method, the features are evaluated according to a criterion based on the Mahalanobis distance between the classes. For some EEG data classification problems, the problem may be determining the features to be extracted, however for the problem of distinguishing between right, left and forward movement imagination, the features that most benefits in classification cannot be determined beforehand. Therefore, features are selected method from a set of all possible features by the proposed filtering to increase the performance and speed of the classifier.
UR - http://www.scopus.com/inward/record.url?scp=79960420898&partnerID=8YFLogxK
U2 - 10.1109/SIU.2011.5929683
DO - 10.1109/SIU.2011.5929683
M3 - Konferans katkısı
AN - SCOPUS:79960420898
SN - 9781457704635
T3 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
SP - 442
EP - 445
BT - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
T2 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Y2 - 20 April 2011 through 22 April 2011
ER -