Results 261 to 270 of about 44,055 (290)
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Generalized Features for Electrocorticographic BCIs
IEEE Transactions on Biomedical Engineering, 2008This paper studies classifiability of electrocorticographic signals (ECoG) for use in a human brain-computer interface (BCI). The results show that certain spectral features can be reliably used across several subjects to accurately classify different types of movements. Sparse and nonsparse versions of the support vector machine and regularized linear
Pradeep Shenoy +3 more
openaire +2 more sources
2012
In this chapter, we provide an overview of publicly available software platforms for brain–computer interfaces. We have identified seven major BCI platforms and one platform specifically targeted towards feedback and stimulus presentation. We describe the intended target user group (which includes researchers, programmers, and end users), the most ...
C. Brunner +15 more
openaire +4 more sources
In this chapter, we provide an overview of publicly available software platforms for brain–computer interfaces. We have identified seven major BCI platforms and one platform specifically targeted towards feedback and stimulus presentation. We describe the intended target user group (which includes researchers, programmers, and end users), the most ...
C. Brunner +15 more
openaire +4 more sources
The 3rd International Winter Conference on Brain-Computer Interface, 2015
A main motivation for multimodal imaging has been the possibility to enhance medical diagnosis[1]. Beyond this original medical motivation the fusion of multiple modalities has created successful interesting research opportunities that have furthered our understanding of the brain and cognition[15].
openaire +2 more sources
A main motivation for multimodal imaging has been the possibility to enhance medical diagnosis[1]. Beyond this original medical motivation the fusion of multiple modalities has created successful interesting research opportunities that have furthered our understanding of the brain and cognition[15].
openaire +2 more sources
ECoG-Based BCI for BCI-MEG Research
2016A brain-computer interface (BCI) allows the user to control a device or software with brain activity. Many BCIs rely on dynamics of brain oscillations related to semantic and motor imaginary tasks in the electroencephalogram (EEG) and magnetoencephalography (MEG).
openaire +1 more source
Human factors engineering of BCI: an evaluation for satisfaction of BCI based on motor imagery
Cognitive Neurodynamics, 2022Yunfa Fu, Lei Su
exaly
Past, Present, and Future of EEG-Based BCI Applications
Sensors, 2022Naveed Muhammad, Yar Muhammad
exaly
Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications
Frontiers in Human Neuroscience, 2021Solene le Bars, Khalida Douibi
exaly
Neurophysiological predictor of SMR-based BCI performance
NeuroImage, 2010Benjamin Blankertz +2 more
exaly