Utilizing a Language Model to Improve Online Dynamic Data Collection in P300 Spellers-Reference-Cited by-同舟云学术

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Utilizing a Language Model to Improve Online Dynamic Data Collection in P300 Spellers

Published:2014-07 Issue:4 Volume:22 Page:837-846
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Mainsah Boyla O.,Colwell Kenneth A.,Collins Leslie M.,Throckmorton Chandra S.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/6848867/06810018.pdf?arnumber=6810018

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A practical hybrid BCI speller for Chinese Character Input: Integrating an Eye Tracker into a P300-Based Spelling approach;2022 5th International Conference on Computer Science and Software Engineering (CSSE 2022);2022-10-21

2. Mind Your Mind;ACM Computing Surveys;2021-01-31

3. Improving P300 Speller performance by means of optimization and machine learning;Annals of Operations Research;2021-01-20

4. Increasing the usability of the Devanagari script input based P300 speller;Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2;2020-12

5. Weighted Ensemble of Deep Convolution Neural Networks for Single-Trial Character Detection in Devanagari-Script-Based P300 Speller;IEEE Transactions on Cognitive and Developmental Systems;2020-09

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