An optimized EEGNet processor for low-power and real-time EEG classification in wearable brain-computer interfaces

Cao, J Xiong, W Lu, J

Chen, P Wang, J Lai, J Huang, M

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Field	Value	Language
dc.contributor.author	Cao, J
dc.contributor.author	Xiong, W
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732
dc.contributor.author	Chen, P
dc.contributor.author	Wang, J
dc.contributor.author	Lai, J
dc.contributor.author	Huang, M
dc.date.accessioned	2025-01-21T02:12:05Z
dc.date.available	2025-01-21T02:12:05Z
dc.date.issued	2024-03
dc.identifier.citation	MICROELECTRONICS JOURNAL, 2024, 145
dc.identifier.issn	0959-8324
dc.identifier.issn	1879-2391
dc.identifier.uri	http://hdl.handle.net/10453/183912
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	MICROELECTRONICS JOURNAL
dc.relation.isbasedon	10.1016/j.mejo.2024.106134
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	An optimized EEGNet processor for low-power and real-time EEG classification in wearable brain-computer interfaces
dc.type	Journal Article
utslib.citation.volume	145
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/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Australian Artificial Intelligence Institute (AAII)
utslib.copyright.status	closed_access	*
dc.date.updated	2025-01-21T02:12:04Z
pubs.publication-status	Published
pubs.volume	145

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