Construction site hazard identification and worker adverse reaction monitoring using electroencephalograms: a review Show others and affiliations
2024 (English) In: Buildings, E-ISSN 2075-5309, Vol. 14, no 1, article id 180Article, review/survey (Refereed) Published
Abstract [en]
The construction process is a dynamic one, and the complexity of the working conditions and the high level of uncertainty make the construction industry the third most dangerous industry after mining and agriculture. And since the construction industry is vital to the development of a country, safety during construction is of particular importance. A great deal of research, studies and practices have been conducted to reduce potential risks and improve worker efficiency during the construction process. In recent years, with the rapid development of cognitive neuroscience and the integration of medical technology, various wearable monitoring devices have been widely used in the field of building construction for real-time monitoring of workers’ physical and mental conditions. Among them, the application of EEG (electroencephalogram) in the building construction process enables researchers to gain insight into the physical and mental state of construction workers while performing construction tasks. This paper introduces EEG technology and portable EEG monitoring equipment and summarizes its application in monitoring workers’ adverse reactions (emotion, fatigue, psychological burden, and vigilance) and construction hazard identification during the process of construction in recent years, which provides future EEG research in the field of building construction and construction site safety management.
Place, publisher, year, edition, pages MDPI, 2024. Vol. 14, no 1, article id 180
Keywords [en]
adverse reaction, construction, electroencephalogram, hazard identification, worker safety
National Category
Construction Management
Identifiers URN: urn:nbn:se:umu:diva-220469 DOI: 10.3390/buildings14010180 ISI: 001148963500001 Scopus ID: 2-s2.0-85183445457 OAI: oai:DiVA.org:umu-220469 DiVA, id: diva2:1834535
2024-02-052024-02-052024-02-05 Bibliographically approved