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Brain-computer interface (BCI) system uses brain activity to control external devices such as computers and electronic devices. It is a novel kind of human computer interaction. BCI system can be regard as pattern recognition system, and the key point is classification of Electroencephalogram (EEG) signals under different mental tasks. Classification algorithms of BCI system include Fisher linear...
Electrocorticograms (ECoG) signals have many potential advantages and gained much attention for use with brain-computer interface (BCI). In this study, feature extraction using band powers was applied to ECoG signals from one subject performing imagined movements of either the left small-finger or the tongue. Probabilistic neural network (PNN) which was very suitable for classification problems was...
In this paper, an on-line signature verification system exploiting local and global information using two-stage fusion is presented. At the first stage, global information is extracted as 13-dimensional vector and recognized by majority classifiers, and then local information is extracted as time functions of various dynamic properties and recognized by BP neural network classifier. By fusing global...
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