Vigilance Estimating in SSVEP-Based BCI Using Multimodal Signals-Reference-Cited by-同舟云学术

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Vigilance Estimating in SSVEP-Based BCI Using Multimodal Signals

Published:2021-11-01 Issue: Volume: Page:
ISSN:
Container-title:2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Wang Kangning,Qiu Shuang,Wei Wei,Zhang Chuncheng,He Huiguang,Xu Minpeng,Ming Dong

Funder

Beijing Municipal Natural Science Foundation

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9629355/9629471/09629736.pdf?arnumber=9629736

Cited by 6 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. Contrastive fine-grained domain adaptation network for EEG-based vigilance estimation;Neural Networks;2024-11

2. A MultiModal Vigilance (MMV) dataset during RSVP and SSVEP brain-computer interface tasks;Scientific Data;2024-08-10

3. 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

4. A high-performance general computer cursor control scheme based on a hybrid BCI combining motor imagery and eye-tracking;iScience;2024-06

5. A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI;Neural Information Processing;2023-11-16

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