Adapting the P300-based brain–computer interface for gaming: a review

AY Kaplan, SL Shishkin, IP Ganin… - … Intelligence and AI …, 2013 - ieeexplore.ieee.org
The P300-based brain-computer interface (P300 BCI) is currently a very popular topic in
assistive technology development. However, only a few simple P300 BCI-based games …

Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees

D Hübner, T Verhoeven, K Schmid, KR Müller… - PloS one, 2017 - journals.plos.org
Objective Using traditional approaches, a brain-computer interface (BCI) requires the
collection of calibration data for new subjects prior to online use. Calibration time can be …

Introducing the edges paradigm: a P300 brain–computer interface for spelling written words

QT Obeidat, TA Campbell… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
P300-based brain-computer interface spellers employ the P300 component, which is
derived from scalp measured electroencephalogram during the brain's electrical response to …

The role of simulation in developing and designing applications for 2-class motor imagery brain-computer interfaces

M Quek - 2013 - theses.gla.ac.uk
A Brain-Computer Interface (BCI) can be used by people with severe physical disabilities
such as Locked-in Syndrome (LiS) as a channel of input to a computer. The time-consuming …

Rethinking BCI paradigm and machine learning algorithm as a symbiosis: Zero calibration, guaranteed convergence and high decoding performance

D Hübner, PJ Kindermans, T Verhoeven… - … Interface Research: A …, 2019 - Springer
In the past, the decoding quality of brain-computer interface (BCI) systems was often
enhanced by independently improving either the machine learning algorithms or the BCI …

[PDF][PDF] LEARNING FROM LABEL PROPORTIONS IN BCI--A SYMBIOTIC DESIGN FOR STIMULUS PRESENTATION AND SIGNAL DECODING

D Hübner, T Verhoeven, K Schmid, KR Müller… - The First Biannual …, 2017 - core.ac.uk
A brain-computer interface (BCI) translates neuronal signals into control commands. We
propose a new design in which the stimulus presentation works together with the machine …

[引用][C] From supervised to unsupervised machine learning methods for brain-computer interfaces and their application in language rehabilitation

D Hübner - 2020 - Dissertation, Universität Freiburg …