How many people are able to control a P300-based brain-computer interface (BCI)?
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P300 brain computer interface: current challenges and emerging trendsNeural Point-and-Click Communication by a Person With Incomplete Locked-In SyndromeBrain Painting: First Evaluation of a New Brain–Computer Interface Application with ALS-Patients and Healthy VolunteersThe Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology.The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning.Comparison of eye tracking, electrooculography and an auditory brain-computer interface for binary communication: a case study with a participant in the locked-in state.Cognitive-motor brain-machine interfaces.Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentialsPrediction of P300 BCI aptitude in severe motor impairment.Alternative communication systems for people with severe motor disabilities: a survey.Sniffing enables communication and environmental control for the severely disabled.Rapid Communication with a "P300" Matrix Speller Using Electrocorticographic Signals (ECoG).Control of humanoid robot via motion-onset visual evoked potentials.Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guaranteesA systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.A Multifunctional Brain-Computer Interface Intended for Home Use: An Evaluation with Healthy Participants and Potential End Users with Dry and Gel-Based ElectrodesAudio-visual feedback improves the BCI performance in the navigational control of a humanoid robotA novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns.Subject combination and electrode selection in cooperative brain-computer interface based on event related potentialsAn electrocorticographic BCI using code-based VEP for control in video applications: a single-subject studyThe influence of psychological state and motivation on brain-computer interface performance in patients with amyotrophic lateral sclerosis - a longitudinal study.Real-time decoding of brain responses to visuospatial attention using 7T fMRI.Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury.Brain-computer interfacing in disorders of consciousness.Correction: cecotti, h. And rivet, B. Subject combination and electrode selection in cooperative brain-computer interface based on event related potentials. Brain sci. 2014, 4, 335-355Does the 'P300' speller depend on eye gaze?Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.A comparison of two spelling Brain-Computer Interfaces based on visual P3 and SSVEP in Locked-In SyndromeHigh theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery.A P300-based brain-computer interface with stimuli on moving objects: four-session single-trial and triple-trial tests with a game-like task design.Decoding intention at sensorimotor timescales.Suppressing flashes of items surrounding targets during calibration of a P300-based brain-computer interface improves performance.Electrode replacement does not affect classification accuracy in dual-session use of a passive brain-computer interface for assessing cognitive workloadA procedure for measuring latencies in brain-computer interfaces.A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systemsBrain-computer interface: current and emerging rehabilitation applicationsAn efficient ERP-based brain-computer interface using random set presentation and face familiarity.Manipulating attention via mindfulness induction improves P300-based brain-computer interface performance.An adaptive P300-based control systemRapid P300 brain-computer interface communication with a head-mounted display
P2860
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P2860
How many people are able to control a P300-based brain-computer interface (BCI)?
description
2009 nî lūn-bûn
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2009年の論文
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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name
How many people are able to control a P300-based brain-computer interface (BCI)?
@en
How many people are able to control a P300-based brain-computer interface
@nl
type
label
How many people are able to control a P300-based brain-computer interface (BCI)?
@en
How many people are able to control a P300-based brain-computer interface
@nl
prefLabel
How many people are able to control a P300-based brain-computer interface (BCI)?
@en
How many people are able to control a P300-based brain-computer interface
@nl
P2093
P1433
P1476
How many people are able to control a P300-based brain-computer interface (BCI)?
@en
P2093
Christoph Guger
Clemens Holzner
Eric Sellers
Guenter Edlinger
Gunther Krausz
Roberta Carabalona
Shahab Daban
P356
10.1016/J.NEULET.2009.06.045
P407
P577
2009-06-21T00:00:00Z