A comparison of classification techniques for the P300 Speller

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Accuracy of a P300 Speller for different conditions: A comparison

When using a Brain-Computer Interface (BCI) as a spelling device, the P300-based BCI is mostly common, because of its high speed and accuracy, compared to other BCI paradigms. During the last years many studies have been performed to optimize the single spelling parameters, the stimulation frequency and stimulation intensity. Also different options for the electrode position and classification ...

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A comparison of stimulus types in online classification of the P300 speller using language models

The P300 Speller is a common brain-computer interface communication system. There are many parallel lines of research underway to overcome the system's low signal to noise ratio and thereby improve performance, including using famous face stimuli and integrating language information into the classifier. While both have been shown separately to provide significant improvements, the two methods h...

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The P300 Speller has proven to be an effective paradigm for braincomputer interface (BCI) communication. Using this paradigm, studies have shown that a simple linear classifier can perform as well as more complex nonlinear classifiers. Several studies have examined methods such as Fisher’s Linear Discriminant (FLD), Stepwise Linear Discriminant Analysis (SWLDA), and Support Vector Machines (SVM...

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P300 is an electric signal emitted by brain about 300 milliseconds after a rare, but relevant-for-the-user event. Even if it is hard to identify and it provides a low-rate communication channel, it raises the interest of the scientific community because it can be used in cases in which other evoked potentials fail. One of the applications of this signal is a speller that enables subjects who lo...

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ژورنال

عنوان ژورنال: Journal of Neural Engineering

سال: 2006

ISSN: 1741-2560,1741-2552

DOI: 10.1088/1741-2560/3/4/007