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Passive Brain–Computer Interfaces
2014Abstract Passive Brain-Computer interfaces (passive BCI), also named implicitBCI, provide information from user mental activity to a computerized applicationwithout the need for the user to control his brain activity. Passive BCI seem particularlyrelevant in the context of music creation where they can provide novel informationto adapt the music ...
George, Laurent, Lécuyer, Anatole
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Improving brain-computer interfaces
Communications of the ACM, 2011Researchers are demonstrating advances in restorative BCI systems that are giving paralyzed individuals more effective ways to communicate, move, and interact with their environment.
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Usability of Brain Computer Interfaces
2011Objective. The aim of this work is to assess the usability of two BCI prototypes by measuring interaction with the systems in context, considering the performance, cognitive workload and satisfaction of non-disabled users in order to better understand how the interface affect these parameters.
Pasqualotto, E +3 more
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Brain-Computer Interfacing [In the Spotlight
IEEE Signal Processing Magazine, 2010Recently, CNN reported on the future of brain-computer interfaces (BCIs). BCIs are devices that process a user's brain signals to allow direct communication and interaction with the environment. BCIs bypass the normal neuromuscular output pathways and rely on digital signal processing and machine learning to translate brain signals to action (Figure 1).
Rajesh P. N. Rao, Reinhold Scherer
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Brain-Computer Interfaces for Neurorehabilitation
Critical Reviews in Biomedical Engineering, 2013Brain-computer interfaces (BCIs) enable control of computers and other assistive devices, such as neuro-prostheses, which are used for communication, movement restoration, neuro-modulation, and muscle stimulation, by using only signals measured directly from the brain. A BCI creates a new output channel for the brain to a computer or a device.
Sujesh, Sreedharan +3 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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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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