Applications of electroencephalography in construction

Saedi, S; Fini, AAF; Khanzadi, M; Wong, J; Sheikhkhoshkar, M; Banaei, M

Applications of electroencephalography in construction

Saedi, S Fini, AAF Khanzadi, M Wong, J Sheikhkhoshkar, M Banaei, M

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Automation in Construction, 2022, 133, pp. 103985-103985
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Saedi, S
dc.contributor.author	Fini, AAF
dc.contributor.author	Khanzadi, M
dc.contributor.author	Wong, J
dc.contributor.author	Sheikhkhoshkar, M
dc.contributor.author	Banaei, M
dc.date.accessioned	2022-01-05T07:03:44Z
dc.date.available	2022-01-05T07:03:44Z
dc.date.issued	2022-01-01
dc.identifier.citation	Automation in Construction, 2022, 133, pp. 103985-103985
dc.identifier.issn	0926-5805
dc.identifier.uri	http://hdl.handle.net/10453/152709
dc.description.abstract	A wearable electroencephalogram (EEG) is considered a means for investigating psychophysiological conditions of individuals in the workplace in order to ameliorate occupational health and safety. Following other sectors, construction scholars have adopted this technology over the past decade to strengthen evidence-based practices to improve the wellbeing of workers. This study presents the state-of-the-art hardware, algorithms, and applications of EEG as a platform that assists in dealing with the risk-prone and complex nature of construction tasks. After summarizing the background of EEG and its research paradigms in different sectors, a comprehensive review of EEG-enabled construction research is provided. First, through a macro-scale review aided by bibliometric analysis a big picture of the research streams is plotted. Second, a micro-scale review is conducted to spot the gaps in the literature. The identified gaps are used to classify the future research directions into theoretical, application, and methodological developments.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Automation in Construction
dc.relation.isbasedon	10.1016/j.autcon.2021.103985
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	09 Engineering, 12 Built Environment and Design
dc.subject.classification	Building & Construction
dc.title	Applications of electroencephalography in construction
dc.type	Journal Article
utslib.citation.volume	133
utslib.for	09 Engineering
utslib.for	12 Built Environment and Design
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	open_access	*
dc.date.updated	2022-01-05T07:03:42Z
pubs.publication-status	Accepted
pubs.volume	133

Abstract:

A wearable electroencephalogram (EEG) is considered a means for investigating psychophysiological conditions of individuals in the workplace in order to ameliorate occupational health and safety. Following other sectors, construction scholars have adopted this technology over the past decade to strengthen evidence-based practices to improve the wellbeing of workers. This study presents the state-of-the-art hardware, algorithms, and applications of EEG as a platform that assists in dealing with the risk-prone and complex nature of construction tasks. After summarizing the background of EEG and its research paradigms in different sectors, a comprehensive review of EEG-enabled construction research is provided. First, through a macro-scale review aided by bibliometric analysis a big picture of the research streams is plotted. Second, a micro-scale review is conducted to spot the gaps in the literature. The identified gaps are used to classify the future research directions into theoretical, application, and methodological developments.

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

http://hdl.handle.net/10453/152709