Brain-Computer Interface Using Brain Power Map and Cognition Detection Network During Flight-Reference-Cited by-同舟云学术

Brain-Computer Interface Using Brain Power Map and Cognition Detection Network During Flight

Published:2022-10 Issue:5 Volume:27 Page:3942-3952
ISSN:1083-4435
Container-title:IEEE/ASME Transactions on Mechatronics
language:
Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Wu Edmond Q.¹^ORCID,Cao Zhengtao²,Xiong Pengwen³^ORCID,Song Aiguo⁴^ORCID,Zhu Li-Min⁵^ORCID,Yu Mengsun²

Affiliation:

1. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

2. Key Laboratory of Aviation Medical Engineering, PLA, Beijing, China

3. School of Information Engineering, Nanchang University, Nanchang, China

4. School of Instrument Science and Engineering, Southeast University, Nanjing, China

5. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Frontier Leading Technology Project of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/3516/9924619/09719160.pdf?arnumber=9719160

Reference42 articles.

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4. Monitoring pilot's cognitive fatigue with engagement features in simulated and actual flight conditions using an hybrid fNIRS-EEG passive BCI;frederic;Proc IEEE Int Conf Syst Man Cybern,2018

5. Enhancing drone pilots’ engagement through a brain-computer interface;tracy;Proc Conf Computer-Human Interaction,2020

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