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Titlebook: Brain-Computer Interfaces; Applying our Minds t Desney S. Tan,Anton Nijholt Book 2010 Springer-Verlag London Limited 2010 Brain-Computer In

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https://doi.org/10.1007/978-3-658-11520-3 investigate the effectiveness of introducing an intermediary state between state probabilities and interface command, driven by a dynamic control law, and outline the strategies used by two subjects to achieve idle state BCI control.
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https://doi.org/10.1007/978-3-322-87303-3andling of these situations is treated in a brief review of training and calibration strategies. The presented theory is then underpinned by two concrete examples. First, a combination of Event Related Desynchronization (ERD)-based active BCI with gaze control, defining a hybrid BCI as solution for
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Neural Control Interfacesorming mental tasks, reports system status and task feedback, and often displays representations of the user’s brain signals. Control interfaces play a significant role in determining the usability of a BCI, and some of the traditional human-computer interaction design methods apply. However, the ve
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Could Anyone Use a BCI?CI approaches; a “universal” BCI that works for everyone has never been developed. Instead, about 20% of subjects are not proficient with a typical BCI system. Some groups have called this phenomenon “BCI illiteracy”. Some possible solutions have been explored, such as improved signal processing, tr
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