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Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller
Objective. Most BCIs have to undergo a calibration session in which data is recorded to train decoders with machine learning. Only …
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Robust artifactual independent component classification for BCI practitioners
Objective. EEG artifacts of non-neural origin can be separated from neural signals by independent component analysis (ICA). It is …
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Towards User-friendly Spelling with an Auditory Brain-Computer Interface: The CharStreamer Paradigm
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Workshops of the fifth international brain-computer interface meeting: Defining the future
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Distinguishing between Target and Nontarget Fixations in a Visual Search Task Using Fixation-Related Potentials
The P300 event-related potential (ERP) can be used to infer whether an observer is looking at a target or not. Common practice in P300 …
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Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users
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Facing the challenge: Bringing brain-computer interfaces to end-users
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Optimizing ERP Based BCI - a Systematic Evaluation of Dynamic Stopping Methods
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User-Centered Design in Brain-Computer Interfaces - a Case Study
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