EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies
  on Signal Sensing Technologies and Computational Intelligence Approaches and
  their Applications

Gu, X Cao, Z Jolfaei, A Xu, P Wu, D Jung, T-P Lin, C-T

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Field	Value	Language
dc.contributor.author	Gu, X
dc.contributor.author	Cao, Z
dc.contributor.author	Jolfaei, A
dc.contributor.author	Xu, P
dc.contributor.author	Wu, D
dc.contributor.author	Jung, T-P
dc.contributor.author	Lin, C-T
dc.date.accessioned	2021-03-15T23:57:12Z
dc.date.available	2021-03-15T23:57:12Z
dc.date.issued	2020-01-28
dc.identifier.citation	arXiv, 2020
dc.identifier.uri	http://hdl.handle.net/10453/147196
dc.language	en
dc.relation.ispartof	arXiv
dc.rights	info:eu-repo/semantics/openAccess
dc.title	EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
dc.type	Preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2021-03-15T23:57:10Z

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