Construction Site Hazard Identification and Worker Adverse Reaction Monitoring Using Electroencephalograms: A Review
Author(s): |
Bo’an Wei
Bin Yang Weiling Zhang Pengju Liu Hanliang Fu Zhihan Lv Faming Wang |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 31 December 2023, n. 1, v. 14 |
Page(s): | 180 |
DOI: | 10.3390/buildings14010180 |
Abstract: |
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. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
3.4 MB
- About this
data sheet - Reference-ID
10760384 - Published on:
23/03/2024 - Last updated on:
25/04/2024