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Using neurophysiological signals that reflect cognitive or affective state: six recommendations to avoid common pitfalls
Estimating cognitive or affective state from neurophysiological signals and designing
applications that make use of this information requires expertise in many disciplines such as …
applications that make use of this information requires expertise in many disciplines such as …
Divergence-based framework for common spatial patterns algorithms
Controlling a device with a brain-computer interface requires extraction of relevant and
robust features from high-dimensional electroencephalographic recordings. Spatial filtering …
robust features from high-dimensional electroencephalographic recordings. Spatial filtering …
Transferring subspaces between subjects in brain--computer interfacing
Compensating changes between a subjects' training and testing session in brain-computer
interfacing (BCI) is challenging but of great importance for a robust BCI operation. We show …
interfacing (BCI) is challenging but of great importance for a robust BCI operation. We show …
Robust common spatial filters with a maxmin approach
Electroencephalographic signals are known to be nonstationary and easily affected by
artifacts; therefore, their analysis requires methods that can deal with noise. In this work, we …
artifacts; therefore, their analysis requires methods that can deal with noise. In this work, we …
Investigating effects of different artefact types on motor imagery BCI
Artefacts in recordings of the electroencephalogram (EEG) are a common problem in Brain-
Computer Interfaces (BCIs). Artefacts make it difficult to calibrate from training sessions …
Computer Interfaces (BCIs). Artefacts make it difficult to calibrate from training sessions …
Effortless passive BCIs for healthy users
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 …
users who have difficulties to move or to speak, we focused on BCIs as a way to retrieve and …
Improving BCI performance after classification
Brain-computer interfaces offer a valuable input modality, which unfortunately comes also
with a high degree of uncertainty. There are simple methods to improve detection accuracy …
with a high degree of uncertainty. There are simple methods to improve detection accuracy …
Method and system for a brain-computer interface
B Reuderink - 2014 - Google Patents
WO2014069996A1 - Method and system for a brain-computer interface - Google Patents
WO2014069996A1 - Method and system for a brain-computer interface - Google Patents Method …
WO2014069996A1 - Method and system for a brain-computer interface - Google Patents Method …
[PDF][PDF] Exploring the Potential of Neurophysiological Measures for User-adaptive Visualization.
User-adaptive visualization aims to adapt visualized information to the needs and
characteristics of the individual user. Current approaches deploy user personality factors …
characteristics of the individual user. Current approaches deploy user personality factors …
[فهرست منابع][C] Brain-Computer Interfaces based on Multisensory Event-Related Potentials
ME Thurlings - 2013 - Utrecht University