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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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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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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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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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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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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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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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Optimizing the Usability of Brain-Computer Interfaces
Neural Computation, 2018Brain-computer interfaces are in the process of moving from the laboratory to the clinic. These devices act by reading neural activity and using it to directly control a device, such as a cursor on a computer screen. An open question in the field is how to map neural activity to device movement in order to achieve the most proficient control.
Yin Zhang 0012, Steven M. Chase
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