Dual Contrastive Training and Transferability-Aware Adaptation for Multisource Privacy-Preserving Motor Imagery Classification-Reference-Cited by-同舟云学术

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Dual Contrastive Training and Transferability-Aware Adaptation for Multisource Privacy-Preserving Motor Imagery Classification

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:

Zhu Jian¹^ORCID,Xu Ganxi¹^ORCID,Hu Qintai¹^ORCID,Wang Boyu²^ORCID,Zhou Teng³^ORCID,Qin Jing⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology (GDUT), Guangzhou, China

2. Department of Computer Science and the Brain Mind Institute, University of Western Ontario, London, Canada

3. School of Cyberspace Security, Hainan University, Haikou, China

4. Centre for Smart Health, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

Funder

National Natural Science Foundation of China

2022 Guangdong Basic and Applied Basic Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10352359.pdf?arnumber=10352359

Reference54 articles.

1. Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms

2. High-performance brain-to-text communication via handwriting

3. Multimodality Sentiment Analysis in Social Internet of Things Based on Hierarchical Attentions and CSAT-TCN With MBM Network

4. Statistical Channel Selection Method for Detecting Drowsiness Through Single-Channel EEG-Based BCI System

5. A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI

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