Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment-Reference-Cited by-同舟云学术

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Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment

Published:2021-02-22 Issue: Volume: Page:
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Container-title:2021 9th International Winter Conference on Brain-Computer Interface (BCI)
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Author:

Lee Young-Eun,Lee Seong-Whan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9385268/9385288/09385313.pdf?arnumber=9385313

Cited by 5 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. WalkingWizard—A Truly Wearable EEG Headset for Everyday Use;ACM Transactions on Computing for Healthcare;2024-04-22

2. Brain-Driven Representation Learning Based on Diffusion Model;2024 12th International Winter Conference on Brain-Computer Interface (BCI);2024-02-26

3. Cross-domain Feature Distillation Framework for Enhancing Classification in Ear-EEG Brain-Computer Interfaces;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

4. The future of wearable EEG: a review of ear-EEG technology and its applications;Journal of Neural Engineering;2023-10-01

5. Speech Synthesis from Brain Signals Based on Generative Model;2023 11th International Winter Conference on Brain-Computer Interface (BCI);2023-02-20

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