Title :
The feature extraction and recognition of EEG based on wavelet entropy and distance
Author :
Yuge, Sun ; Ning, Ye ; Xinhe, Xu
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
The paper is based on the technique of brain-computer interface to investigate the EEG of different mental tasks. The wavelet entropy algorithm is applied to realize the feature extraction for the two mental tasks. The Euclidean distance discriminant is proposed to classify the two metal tasks efficiently and the result is perfect. The recognition rate is up to 96.97%. The research is valuable and significant in the realization of control and communication based on the mental tasks in BCI.
Keywords :
biology computing; electroencephalography; entropy; feature extraction; pattern classification; wavelet transforms; EEG; Euclidean distance discriminant; brain-computer interface; electroencephalography; feature extraction; mental task; wavelet entropy algorithm; Brain computer interfaces; Educational institutions; Electroencephalography; Electrooculography; Entropy; Euclidean distance; Feature extraction; Independent component analysis; Information science; Sun; Brain-Computer Interface; EEG; Euclidean distance; Feature extraction; Recognition; Wavelet entropy;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4598140
