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The most important factor affecting the performance of a BCI (Brain Computer Interface) systems, is classification feature set.
This paper describes a Brain Computer Interface (BCI) based on electroencephalography (EEG) that allows control of a robot arm.
In the past decade, research of brain computer interface (BCI) has been growing and developing.
CPD has also been shown to be a promising tool in brain computer interfaces.
Such a system is known as a brain computer interface, or BCI.
This research proposes a framework for a real time implementation of a Brain Computer Interface (BCI).
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Her areas of interest include cognitive computing, brain-computer interface, computer networks and parallel processing.
His areas of interest include cognitive computing, brain-computer interface and unpredictability theory.
Brain-Computer Interface (B.C.I).
He uses EEG caps as part of brain-computer interfaces for severely paralyzed people.
Already, brain-computer interfaces can enable totally paralysed people with locked-in syndrome to communicate.
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