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Introducing a Motivating Training Study Design to Compare auditory and tactile Streaming-based P300 BCIs.

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Neural mechanisms of brain-computer interface control., , , , , , , , , and . NeuroImage, 55 (4): 1779-1790 (2011)Brain Painting: Usability testing according to the user-centered design in end users with severe motor paralysis., , , , and . Artificial Intelligence in Medicine, 59 (2): 99-110 (2013)Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation., , , , , , and . Comp. Int. and Neurosc., (2007)Write, read and answer emails with a dry 'n' wireless brain-computer interface system., , , , , , , , , and . EMBC, page 1286-1289. IEEE, (2014)Brain-controlled applications using dynamic P300 speller matrices., , , , , , , and . Artificial Intelligence in Medicine, 63 (1): 7-17 (2015)Neurophysiological predictor of SMR-based BCI performance., , , , , , , and . NeuroImage, 51 (4): 1303-1309 (2010)Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability., , , , , and . CoRR, (2022)Prediction of Brain-Computer Interface Performance: For P300 and Motor Imagery Brain-Computer Interfaces.. Eberhard Karls University of Tübingen, (2011)Brain Neural Computer Interface for Everyday Home Usage., , , , , , , , and . HCI (8), volume 9176 of Lecture Notes in Computer Science, page 437-446. Springer, (2015)Introducing a Motivating Training Study Design to Compare auditory and tactile Streaming-based P300 BCIs., , , , , and . GBCIC, Verlag der Technischen Universitaet Graz, (2019)