AMBER: advancing multimodal brain-computer interfaces for enhanced robustness—A dataset for naturalistic settings-Reference-Cited by-同舟云学术

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AMBER: advancing multimodal brain-computer interfaces for enhanced robustness—A dataset for naturalistic settings

Published:2023-08-24 Issue: Volume:4 Page:
ISSN:2673-6195
Container-title:Frontiers in Neuroergonomics
language:
Short-container-title:Front. Neuroergonomics

Author:

Awais Muhammad Ahsan,Redmond Peter,Ward Tomas Emmanuel,Healy Graham

Funder

Science Foundation Ireland

CHIST-ERA

Publisher

Frontiers Media SA

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference19 articles.

1. Gaze-independent BCI-spelling using rapid serial visual presentation (RSVP);Acqualagna;Clin. Neurophysiol.,2013

2. Effective connectivity for decoding electroencephalographic motor imagery using a probabilistic neural network;Awais;Sensors,2021

3. Brain activity-based image classification from rapid serial visual presentation;Bigdely-Shamlo;IEEE Trans. Neural Syst. Rehabil. Eng.,2008

4. “Overview of NTCIR-13 NAILS task,”;Healy,2017

5. “Removal of eye-blinking artifacts by ICA in cross-modal long-term EEG recording,”;Huang,2020

Cited by 1 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. From lab to life: assessing the impact of real-world interactions on the operation of rapid serial visual presentation-based brain-computer interfaces;Journal of Neural Engineering;2024-07-10

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