Systematic literature review of wearable devices and data analytics for construction safety and health

J Kim, K Lee, JH Jeon - Expert Systems with Applications, 2024 - Elsevier
Improving worker safety and health is one of the most important managerial points on
construction sites, attributed to their poor safety record (eg, high fatality and injury rates) …

Classification of construction hazard-related perceptions using: Wearable electroencephalogram and virtual reality

JH Jeon, H Cai - Automation in Construction, 2021 - Elsevier
Improving construction workers' safety is one of the most critical issues in the construction
industry. Methods have been developed to better identify construction hazards on a jobsite …

Multi-class classification of construction hazards via cognitive states assessment using wearable EEG

JH Jeon, H Cai - Advanced Engineering Informatics, 2022 - Elsevier
Improving workers' safety and health is one of the most critical issues in the construction
industry. Research attempts have been made to better identify construction hazards on a …

Assessing hazard anticipation in dynamic construction environments using multimodal 360-degree panorama videos

K Lee, S Hasanzadeh, B Esmaeili - Journal of Management in …, 2022 - ascelibrary.org
Given the dynamic and complex nature of a construction site, the ability to recognize
hazards in a surrounding environment is highly associated with worker safety. While many …

Wearable EEG-based construction hazard identification in virtual and real environments: A comparative study

J Jeon, H Cai - Safety science, 2023 - Elsevier
Hazard identification on construction jobsites is one of the most critical components of
construction safety management. To overcome the limitations in the current manual practice …

EEG-based work experience prediction using hazard recognition

M Wang, Y Zhao, PC Liao - Automation in Construction, 2022 - Elsevier
Extraction of individual characteristics promotes intuitive human-machine collaboration
(HMC) for hazard recognition. Despite the essential role of work experience in hazard …

Predicting collision cases at unsignalized intersections using EEG metrics and driving simulator platform

X Zhang, X Yan - Accident Analysis & Prevention, 2023 - Elsevier
Unsignalized intersection collision has been one of the most dangerous accidents in the
world. How to identify road hazards and predict the potential intersection collision ahead are …

Construction Site Hazard Identification and Worker Adverse Reaction Monitoring Using Electroencephalograms: A Review

B Wei, B Yang, W Zhang, P Liu, H Fu, Z Lv, F Wang - Buildings, 2024 - mdpi.com
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 …

Understanding Cognitive Anticipatory Process in Dynamic Hazard Anticipation Using Multimodal Psychophysiological Responses

K Lee, S Hasanzadeh - Journal of Construction Engineering and …, 2024 - ascelibrary.org
Given the dynamic and complex nature of a construction jobsite, workers' safety is
significantly connected to both their ability to efficiently scan their surrounding environment …

Spatial exposure to dynamic safety hazards in construction sites through 360-degree augmented panoramas: Ecological validity in safety research

K Lee, S Hasanzadeh, B Esmaeili - … Research Congress 2022, 2022 - ascelibrary.org
Given the dynamic and complex nature of the construction industry, maintaining situation
awareness at job sites is critical. To react properly, workers must identify dynamic safety …