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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Book 2010r using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the st

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Could Anyone Use a BCI?ear. For example, comparisons across different studies have been problematic since different groups use different performance thresholds, and do not account for key factors such as the number of trials or size of the BCI’s alphabet. We also discuss challenges inherent in establishing widely used ter

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Using Rest Class and Control Paradigms for Brain Computer Interfacing 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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Enhancing Human-Computer Interaction with Input from Active and Passive Brain-Computer Interfacesandling 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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1571-5035 er Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the st978-1-4471-2571-6978-1-84996-272-8Series ISSN 1571-5035 Series E-ISSN 2524-4477

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