Wearable sensing technology applications in construction safety and health

CR Ahn, SH Lee, C Sun, H Jebelli, K Yang… - Journal of Construction …, 2019 - ascelibrary.org
The advent of wearable sensing technologies has produced unprecedented opportunities
for the near real-time collection and analysis of workers' safety and health data. To …

Applications of electroencephalography in construction

S Saedi, AAF Fini, M Khanzadi, J Wong… - Automation in …, 2022 - Elsevier
A wearable electroencephalogram (EEG) is considered a means for investigating
psychophysiological conditions of individuals in the workplace in order to ameliorate …

Identifying mental fatigue of construction workers using EEG and deep learning

Y Wang, Y Huang, B Gu, S Cao, D Fang - Automation in Construction, 2023 - Elsevier
Construction workers frequently experience mental fatigue owing to the high cognitive load
of their tasks in a dynamic, complex environment, diminishing their cognitive ability and …

EEG-based workers' stress recognition at construction sites

H Jebelli, S Hwang, SH Lee - Automation in Construction, 2018 - Elsevier
Taking into account that many construction workers suffer from excessive stress that
adversely impacts their safety and health, early recognition of stress is an essential step …

Quantifying human experience in architectural spaces with integrated virtual reality and body sensor networks

S Ergan, A Radwan, Z Zou, H Tseng… - Journal of Computing in …, 2019 - ascelibrary.org
People spend more than 90% of their time indoors, making it essential to understand how
the built environment can influence human experience and assess how the changes in …

EEG signal-processing framework to obtain high-quality brain waves from an off-the-shelf wearable EEG device

H Jebelli, S Hwang, SH Lee - Journal of Computing in Civil …, 2018 - ascelibrary.org
Investigating brain waves collected by an electroencephalogram (EEG) can be useful in
understanding human psychosocial conditions such as stress, emotional exhaustion …

Feasibility analysis of electrodermal activity (EDA) acquired from wearable sensors to assess construction workers' perceived risk

B Choi, H Jebelli, SH Lee - Safety science, 2019 - Elsevier
Risk perception is known as a critical step in workers' safety decision-making process.
However, current approaches to assess workers' perceived risk include surveys and …

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 …

Mobile EEG-based workers' stress recognition by applying deep neural network

H Jebelli, MM Khalili, SH Lee - Advances in Informatics and Computing in …, 2019 - Springer
A large number of construction workers are struggling with high stress associated with their
perilous job sites. Excessive occupational stress can cause serious job difficulties by …

Multi-method fusion of cross-subject emotion recognition based on high-dimensional EEG features

F Yang, X Zhao, W Jiang, P Gao, G Liu - Frontiers in computational …, 2019 - frontiersin.org
Emotion recognition using electroencephalogram (EEG) signals has attracted significant
research attention. However, it is difficult to improve the emotional recognition effect across …