PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Motion-based ERP spellers in a covert attention paradigm
Sulamith Schaeff, Treder Matthias, Venthur Bastian and Blankertz Benjamin
In: SAN Meeting(2011).

Abstract

There is evidence that visual brain–computer interfaces (BCIs) using overt attention depend on eye movements, which limits their clinical applicability. Besides, usual intensification types can be discomforting for the user. As a solution to these shortcomings, three spellers based on motion Visual Evoked Potentials (mVEPs) were developed and evaluated in this online study. mVEPs have favorable characteristics, i.e., low contrast and luminance requirements, low variability, high amplitudes and localized spatial distribution but are only recently employed as BCI input signal. Methods: El

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:9447
Deposited By:Benjamin Blankertz
Deposited On:16 March 2012