EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning

Ming, Y; Wu, D; Wang, Y-K; Shi, Y; Lin, C-T

EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning

Ming, Y

Wu, D Wang, Y-K Shi, Y Lin, C-T

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Emerging Topics in Computational Intelligence, 2020, pp. 1-12
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Ming, Y https://orcid.org/0000-0003-3837-5580
dc.contributor.author	Wu, D
dc.contributor.author	Wang, Y-K
dc.contributor.author	Shi, Y
dc.contributor.author	Lin, C-T
dc.date.accessioned	2020-06-17T03:27:53Z
dc.date.available	2020-06-17T03:27:53Z
dc.date.issued	2020
dc.identifier.citation	IEEE Transactions on Emerging Topics in Computational Intelligence, 2020, pp. 1-12
dc.identifier.issn	2471-285X
dc.identifier.uri	http://hdl.handle.net/10453/141473
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://purl.org/au-research/grants/arc/DP180100670
dc.relation	http://purl.org/au-research/grants/arc/DP180100656
dc.relation.ispartof	IEEE Transactions on Emerging Topics in Computational Intelligence
dc.relation.isbasedon	10.1109/tetci.2020.2997031
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.rights	“© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
dc.title	EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning
dc.type	Journal Article
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-01-01T00:00:00+1000Z
dc.date.updated	2020-06-17T03:27:46Z
pubs.publication-status	Published

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http://hdl.handle.net/10453/141473