The reliability of sensing fatigue from neurophysiology

Lal, S; Bekiaris, E

The reliability of sensing fatigue from neurophysiology

Lal, S

Bekiaris, E

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Publisher:: UTS
Publication Type:: Conference Proceeding
Citation:: AusWireless 2006: International Conference on Wireless Broadband and Ultra Wideband Communications Proceedings, 2007, pp. 1 - 4
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Lal, S https://orcid.org/0000-0002-0911-0850	en_US
dc.contributor.author	Bekiaris, E	en_US
dc.contributor.editor	UTS	en_US
dc.date	2006-03-13	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	AusWireless 2006: International Conference on Wireless Broadband and Ultra Wideband Communications Proceedings, 2007, pp. 1 - 4	en_US
dc.identifier.isbn	0-9775200-0-5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11505
dc.description.abstract	To date no-study has tested the reproducibility of electroencephalography (EEG) changes that occur during driver fatigue. For the EEG changes to be useful in the development of a fatigue sensing and countermeasure device the EEG response during each onset period of fatigue in individuals needs to be reproducible. The aim of the present study was to investigate the reproducibility of the EEG changes during fatigue in professional drivers in order to identify the feasibility of the EEG measure for a fatigue sensor. Twenty professional drivers were assessed during two separate sessions of a driver simulator task.	en_US
dc.publisher	UTS	en_US
dc.relation	http://purl.org/au-research/grants/nhmrc/169309
dc.relation.ispartof	AusWireless 2006: International Conference on Wireless Broadband and Ultra Wideband Communications Proceedings	en_US
dc.relation.ispartof	International conference on Wireless Broadband and Ultra Wideband Communication	en_US
dc.title	The reliability of sensing fatigue from neurophysiology	en_US
dc.type	Conference Proceeding
utslib.location	Sydney, Australia	en_US
utslib.location.activity	Sydney, Australia	en_US
utslib.for	170205 Neurocognitive Patterns and Neural Networks	en_US
utslib.for	170107 Industrial and Organisational Psychology	en_US
dc.location.activity	Sydney, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Sydney, Australia	en_US
pubs.start-date	2006-03-13	en_US

Abstract:

To date no-study has tested the reproducibility of electroencephalography (EEG) changes that occur during driver fatigue. For the EEG changes to be useful in the development of a fatigue sensing and countermeasure device the EEG response during each onset period of fatigue in individuals needs to be reproducible. The aim of the present study was to investigate the reproducibility of the EEG changes during fatigue in professional drivers in order to identify the feasibility of the EEG measure for a fatigue sensor. Twenty professional drivers were assessed during two separate sessions of a driver simulator task.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/11505