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Advances in Hybrid Brain-Computer Interfaces: Principles, Design, and Applications
Joint Authors
Li, Zina
Zhang, Shuqing
Pan, Jiahui
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Conventional brain-computer interface (BCI) systems have been facing two fundamental challenges: the lack of high detection performance and the control command problem.
To this end, the researchers have proposed a hybrid brain-computer interface (hBCI) to address these challenges.
This paper mainly discusses the research progress of hBCI and reviews three types of hBCI, namely, hBCI based on multiple brain models, multisensory hBCI, and hBCI based on multimodal signals.
By analyzing the general principles, paradigm designs, experimental results, advantages, and applications of the latest hBCI system, we found that using hBCI technology can improve the detection performance of BCI and achieve multidegree/multifunctional control, which is significantly superior to single-mode BCIs.
American Psychological Association (APA)
Li, Zina& Zhang, Shuqing& Pan, Jiahui. 2019. Advances in Hybrid Brain-Computer Interfaces: Principles, Design, and Applications. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1129432
Modern Language Association (MLA)
Li, Zina…[et al.]. Advances in Hybrid Brain-Computer Interfaces: Principles, Design, and Applications. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1129432
American Medical Association (AMA)
Li, Zina& Zhang, Shuqing& Pan, Jiahui. Advances in Hybrid Brain-Computer Interfaces: Principles, Design, and Applications. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1129432
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129432