Privacy-Preserving Brain–Computer Interfaces: A Systematic Review

Author:

Xia Kun1ORCID,Duch Wlodzislaw2ORCID,Sun Yu3ORCID,Xu Kedi4ORCID,Fang Weili5,Luo Hanbin5,Zhang Yi6,Sang Dong7,Xu Xiaodong6,Wang Fei-Yue8ORCID,Wu Dongrui1ORCID

Affiliation:

1. School of Artificial Intelligence and Automation, Ministry of Education Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China

2. Department of Informatics, School of Physics, Astronomy and Informatics, Neurocognitive Laboratory, Center for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland

3. Ministry of Education Key Laboratory for Biomedical Engineering, Zhejiang University, Hangzhou, China

4. Zhejiang Lab, Hangzhou, China

5. School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China

6. College of Public Administration, Huazhong University of Science and Technology, Wuhan, China

7. NetsUnion Clearing Corporation, Beijing, China

8. Institute of Automation, State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing, China

Funder

CCF-AFSG Research Fund

Open Research Projects of the Zhejiang Lab

National Social Science Foundation of China

Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province

Hubei Province Funds for Distinguished Young Scholars

National Science Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

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