Natural language processing with dynamic classification improves P300 speller accuracy and bit rate

Journal of Neural Engineering

Volumn 9, Issue 1, 2012, Pages

  Speier, William ^a   Arnold, Corey ^a   Lu, Jessica ^a   Taira, Ricky K ^a   Pouratian, Nader ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIT RATES; BRAIN SIGNALS; DYNAMIC CLASSIFICATION; INTEGRATING INFORMATION; LANGUAGE MODEL; NAIVE BAYES CLASSIFIERS; NATURAL LANGUAGE PROCESSING; NEUROMUSCULAR DISORDERS; PILOT STUDIES; SIGNAL CLASSIFICATION; STEPWISE LINEAR DISCRIMINANT ANALYSIS;

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

CLASSIFICATION (OF INFORMATION);

ADULT; ALGORITHM; ARTICLE; BRAIN COMPUTER INTERFACE; FEMALE; HUMAN; HUMAN EXPERIMENT; LANGUAGE ABILITY; MALE; NATURAL LANGUAGE PROCESSING; NORMAL HUMAN; PRIORITY JOURNAL; STATISTICAL ANALYSIS; AUTOMATED PATTERN RECOGNITION; BRAIN MAPPING; COMMUNICATION AID; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; METHODOLOGY; PHYSIOLOGY; SENSITIVITY AND SPECIFICITY; WRITING;

ADULT; BRAIN MAPPING; COMMUNICATION AIDS FOR DISABLED; ELECTROENCEPHALOGRAPHY; EVENT-RELATED POTENTIALS, P300; HUMANS; MALE; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE; WRITING;

EID: 84857017004     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/9/1/016004     Document Type: Article

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