Improving BCI-based Color Vision Assessment Using Gaussian Process Regression-Reference-Cited by-同舟云学术

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Improving BCI-based Color Vision Assessment Using Gaussian Process Regression

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Habibzadeh Hadi¹,Long Kevin J.²,Atkins Ally E.³,Zois Daphney-Stavroula¹,Norton James J. S.²

Affiliation:

1. University at Albany,State University of New York,Department of Electrical and Computer Engineering,Albany,NY

2. Stratton VA Medical Center,National Center for Adaptive Neurotechnologies,US Department of Veterans Affairs,Albany,NY

3. Union College,Department of Biological Sciences,Schenectady,NY

Funder

National Institute of Biomedical Imaging and Bioengineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747015.pdf?arnumber=9747015

Reference19 articles.

1. Can the Farnsworth D15 Color Vision Test Be Defeated through Practice?

2. Brain-computer interface-based assessment of color vision

3. metaID: A Metamer Identification Algorithm for Improving BCI-based Color Vision Assessment

4. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain–computer interface

5. Cholesky decomposition,2021

Cited by 2 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. EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review;Applied Sciences;2024-08-27

2. Optimizing stimulation frequency for BCI-based color vision assessment: Preliminary results;2023 11th International IEEE/EMBS Conference on Neural Engineering (NER);2023-04-24

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