Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.
about
P300 brain computer interface: current challenges and emerging trendsNeural Point-and-Click Communication by a Person With Incomplete Locked-In SyndromeLanguage model applications to spelling with Brain-Computer Interfaces.Cognitive-motor brain-machine interfaces.Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state.Bayesian approach to dynamically controlling data collection in P300 spellersOffline analysis of context contribution to ERP-based typing BCI performance.Integrating language models into classifiers for BCI communication: a review.Subject combination and electrode selection in cooperative brain-computer interface based on event related potentialsPerformance measurement for brain-computer or brain-machine interfaces: a tutorialCorrection: cecotti, h. And rivet, B. Subject combination and electrode selection in cooperative brain-computer interface based on event related potentials. Brain sci. 2014, 4, 335-355Integrating language information with a hidden Markov model to improve communication rate in the P300 speller.Evaluating true BCI communication rate through mutual information and language models.A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systemsIncorporating advanced language models into the P300 speller using particle filtering.Natural language processing with dynamic classification improves P300 speller accuracy and bit rate.Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.Performance assessment in brain-computer interface-based augmentative and alternative communicationImproved P300 speller performance using electrocorticography, spectral features, and natural language processing.A plug-and-play brain-computer interface to operate commercial assistive technology.Brain-computer interface with language model-electroencephalography fusion for locked-in syndromeA multimenu system based on the P300 component as a time saving procedure for communication with a brain-computer interface.Supporting communication for patients with neurodegenerative disease.Spatio-Temporal EEG Models for Brain Interfaces.Spelling is Just a Click Away - A User-Centered Brain-Computer Interface Including Auto-Calibration and Predictive Text Entry.Probabilistic Simulation Framework for EEG-Based BCI Design.Evaluating brain-computer interface performance using color in the P300 checkerboard speller.A brain-computer interface as input channel for a standard assistive technology software.Brain-Computer Interface Spellers: A Review.Improving P300 spelling rate using language models and predictive spelling
P2860
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P2860
Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Predictive spelling with a P30 ...... ing the rate of communication.
@ast
Predictive spelling with a P30 ...... ing the rate of communication.
@en
Predictive spelling with a P30 ...... ing the rate of communication.
@nl
type
label
Predictive spelling with a P30 ...... ing the rate of communication.
@ast
Predictive spelling with a P30 ...... ing the rate of communication.
@en
Predictive spelling with a P30 ...... ing the rate of communication.
@nl
prefLabel
Predictive spelling with a P30 ...... ing the rate of communication.
@ast
Predictive spelling with a P30 ...... ing the rate of communication.
@en
Predictive spelling with a P30 ...... ing the rate of communication.
@nl
P2093
P2860
P1476
Predictive spelling with a P30 ...... ing the rate of communication.
@en
P2093
E W Sellers
G Townsend
P2860
P356
10.1080/10447318.2011.535754
P577
2011-01-01T00:00:00Z