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Beamforming in Noninvasive Brain–Computer Interfaces
IEEE Transactions on Biomedical Engineering, 2009Spatial filtering (SF) constitutes an integral part of building EEG-based brain-computer interfaces (BCIs). Algorithms frequently used for SF, such as common spatial patterns (CSPs) and independent component analysis, require labeled training data for identifying filters that provide information on a subject's intention, which renders these algorithms ...
Moritz Grosse-Wentrup +3 more
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Evolutionary Brain Computer Interfaces
2007We propose a BCI mouse and speller based on the manipulation of P300 waves in EEG signals. The 2---D motion of the pointer on the screen is controlled by directly combining the amplitudes of the output produced by a filter in the presence of different stimuli. This filter and the features to be combined within it are optimised by a GA.
Riccardo Poli +3 more
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A brain-computer interface for extended reality interfaces
ACM SIGGRAPH 2017 VR Village, 2017Extended reality (XR) technologies, such as augmented reality (AR) and virtual reality (VR), remain limited in their interaction modalities. Prevailing interaction methods such as hand gestures and voice recognition prove awkward in XR environments, even when performing common tasks (e.g., object selection, menu navigation, and others). In contrast, an
Jay Jantz, Adam Molnar, Ramses Alcaide
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The Berlin Brain-Computer Interface
2008The Berlin Brain-Computer Interface (BBCI) uses a machine learning approach to extract subject-specific patterns from high-dimensional EEG-features optimized for revealing the user’s mental state. Classical BCI application are brain actuated tools for patients such as prostheses (see Section 4.1) or mental text entry systems ([2] and see [3,4,5,6] for ...
Benjamin Blankertz +7 more
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Brain–computer interfaces for communication and control
Clinical Neurophysiology, 2002For many years people have speculated that electroencephalographic activity or other electrophysiological measures of brain function might provide a new non-muscular channel for sending messages and commands to the external world - a brain-computer interface (BCI). Over the past 15 years, productive BCI research programs have arisen.
J. Wolpaw +4 more
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Adaptive brain-computer interface
CHI '09 Extended Abstracts on Human Factors in Computing Systems, 2009Passive brain-computer interfaces are designed to use brain activity as an additional input, allowing the adaptation of the interface in real time according to the user's mental state. While most current brain computer interface research (BCI) is designed for direct use with disabled users, I focus my research on passive BCIs for healthy users.
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Changing the P300 Brain Computer Interface
CyberPsychology & Behavior, 2004Brain-computer interfaces (BCIs) are now feasible for use as an alternative control option for those with severe motor impairments. The P300 component of the evoked potential has proven useful as a control signal. Individuals do not need to be trained to produce the signal, and it is fairly stable and has a large evoked potential.
Jessica D. Bayliss +2 more
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Passive Brain–Computer Interfaces
2018Passive brain–computer interfaces (passive BCI; pBCI) have been introduced and formally defined almost a decade ago and have gained considerable attention since then. In this chapter, we clarify some points of confusion and provide a perspective on the past, present, and future of the field of passive BCI.
Krol, Laurens R. +2 more
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Visual and Auditory Brain–Computer Interfaces
IEEE Transactions on Biomedical Engineering, 2014Over the past several decades, electroencephalogram (EEG)-based brain-computer interfaces (BCIs) have attracted attention from researchers in the field of neuroscience, neural engineering, and clinical rehabilitation. While the performance of BCI systems has improved, they do not yet support widespread usage.
Shangkai Gao +3 more
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Affective Brain-Computer Interfaces for Arts
2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013We experience positive emotions when our hedonic needs, such as virtuosity or relatedness, are satisfied. Creating art is one way of satisfying these needs, so artistic computer applications can be considered as 'affective'. Artistic brain-computer interfaces (BCIs), which allow people to create art using brain signals, are such computer applications ...
Hayrettin Gürkök, Anton Nijholt
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