AIMC Topic: Word Processing

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An SSVEP-Based Brain-Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 2, 2014
This paper presents a brain-computer interface for text entry using steady-state visually evoked potentials (SSVEP). Like other SSVEP-based spellers, ours identifies the desired input character by posing questions (or queries) to users through a visu...
Humans Machine Learning Female Reproducibility of Results Young Adult Sensitivity and Specificity Male Adolescent Child Natural Language Processing Electroencephalography Information Storage and Retrieval Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Visual Communication Devices for People with Disabilities Word Processing
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Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 25, 2014
P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communication tool is reliant on high P300 classification accuracies ( > 70%) to account for error revisions. E...
Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Natural Language Processing Bayes Theorem Pattern Recognition, Automated Brain-Computer Interfaces Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing
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