Title :
Distinguishing Between Left and Right Finger Movement from EEG Using SVM
Author :
Gong Andong ; Cai Zixing ; Tang Yan
Author_Institution :
Coll. of Inf. Sci. & Eng., Central South Univ., Changsha
Abstract :
Identification and classification technology plays an important part in study of the BCI system. This paper presents an algorithm for classifying single-trial electroencephalogram (EEG). It combines common spatial subspace decomposition with support vector machine to extract features from multichannel EEG. This algorithm was applied to the data set IV of "BCI Competition 2003" with a classification accuracy of 89% on the test set.
Keywords :
biomechanics; electroencephalography; human computer interaction; medical computing; support vector machines; brain-computer interface; classification; left finger movement; multichannel EEG; right finger movement; single-trial electroencephalogram; spatial subspace decomposition; support vector machine; Data mining; Educational institutions; Electroencephalography; Feature extraction; Fingers; Information science; Linear discriminant analysis; Support vector machine classification; Support vector machines; Synchronous motors;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.147
