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Toward An Adaptive P300 Based Brain Computer
Authors: Mohammed J. Alhaddad, Mahmoud Kamel, Noura Al-Otaibi,
Number of views: 301
BCI represents a new communication way for people who suffering from neuromuscular impairment. In other words, BCI allow them to communicate with outside an environment, control prosthetic or other external devices by using only their brain activity. BCI system based on change of brain activity such that p300 potential. In BCI based on P300, the paradigm with some possible choices – such that letters or image – are present to users. One of the major problems in P300 application is the difficult to find a P300 response from a single trial.
Hence several trials are performed for each element in order to decrease the error in prediction. This led to spend long time for predicted the user intent. For this purpose, this study concerns on Bayesian method that can take adaptive decision about stopping a data acquisition modules as soon as reach to reliable decision. The main advantage of using adaptive number of trials is increased a
communication speed with keeping a good classification accuracy.
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