Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources-Reference-Cited by-同舟云学术

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Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources

Published:2024 Issue: Volume:73 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Jia¹^ORCID,Fang Jinglong¹^ORCID,Liu Siwei¹^ORCID,Liu Dezheng¹^ORCID,Wu Hanrui¹^ORCID,Long Jinyi¹^ORCID

Affiliation:

1. College of Information Science and Technology, Jinan University, Guangzhou, China

Funder

National Natural Science Foundation of China

Outstanding Youth Project of Guangdong Natural Science Foundation of China

National Natural Science Foundation of Guangdong, China

Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10659031.pdf?arnumber=10659031

Reference77 articles.

1. Brain-computer interfaces for communication and control

2. Active Electrodes for Wearable EEG Acquisition: Review and Electronics Design Methodology

3. A Review on Machine Learning for EEG Signal Processing in Bioengineering

4. Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces

5. A Multi-Dimensional Graph Convolution Network for EEG Emotion Recognition

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