Improving P300 spelling rate using language models and predictive spelling

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Improving P300 spelling rate using language models and predictive spelling

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wetenschappelijk artikel

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наукова стаття, опублікована в грудні 2017

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Improving P300 spelling rate using language models and predictive spelling

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Improving P300 spelling rate using language models and predictive spelling

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Improving P300 spelling rate using language models and predictive spelling

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Improving P300 spelling rate using language models and predictive spelling

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Improving P300 spelling rate using language models and predictive spelling

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Improving P300 spelling rate using language models and predictive spelling

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P1476

Improving P300 Spelling Rate using Language Models and Predictive Spelling

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P2093

Corey Arnold

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Dustin Roberts

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Nand Chandravadia

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Shrita Pendekanti

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William Speier

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P2860

Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials

BCI Competition 2003--Data set IIb: enhancing P300 wave detection using ICA-based subspace projections for BCI applications.

BCI Competition 2003--Data set IIb: support vector machines for the P300 speller paradigm.

A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns.

Integrating language information with a hidden Markov model to improve communication rate in the P300 speller.

Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.

The P300-based brain-computer interface (BCI): effects of stimulus rate.

Evaluating true BCI communication rate through mutual information and language models.

Incorporating advanced language models into the P300 speller using particle filtering.

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

P304

13-22

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P31

scholarly article

P356

10.1080/2326263X.2017.1410418

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P433

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P478

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P50

Nader Pouratian

P577

2017-12-26T00:00:00Z

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P698

30560145

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P932

6294452

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