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Brouwer, A.M. (author), van Erp, J.B.F. (author), Heylen, D. (author), Jensen, O. (author), Poel, M. (author)
While a BCI usually aims to provide an alternative communication channel for disabled users who have difficulties to move or to speak, we focused on BCIs as a way to retrieve and use information about an individual’s cognitive or affective state without requiring any effort or intention of the user to convey this information. Providing only an...
conference paper 2013
document
Thurlings, M.E. (author), van Erp, J.B.F. (author), Brouwer, A.-M. (author), Blankertz, B. (author), Werkhoven, P.J. (author)
Event-related potential (ERP) based brain-computer interfaces (BCIs) employ differences in brain responses to attended and ignored stimuli. When using a tactile ERP-BCI for navigation, mapping is required between navigation directions on a visual display and unambiguously corresponding tactile stimuli (tactors) from a tactile control device:...
article 2012
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van Erp, J.B.F. (author), Thurlings, M.E. (author), Brouwer, A.M. (author), Werkhoven, P.J. (author)
The development of Brain Computer Interfaces (BCIs) enters a phase in which these devices are no longer restricted to applications in controlled, single-task environments. For instance, BCIs for gaming or high-end operator stations will function as part of a multimodal user interface in a multitask environment. This phase introduces new issues...
conference paper 2011
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Brouwer, A.M. (author), van Erp, J.B.F. (author), Kappe, B. (author), Urai, A.E. (author)
The brain can be very proficient in classifying images that are hard for computer algorithms to deal with. Previous studies show that EEG can contribute to sorting shortly presented images in targets and non-targets. We examine how EEG and classification performance are affected by image presentation time and the kind of target: humans (a...
conference paper 2011
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