[HTML][HTML] Towards a semantic Construction Digital Twin: Directions for future research

C Boje, A Guerriero, S Kubicki, Y Rezgui - Automation in construction, 2020 - Elsevier
Abstract As the Architecture, Engineering and Construction sector is embracing the digital
age, the processes involved in the design, construction and operation of built assets are …

Measuring and computing cognitive statuses of construction workers based on electroencephalogram: a critical review

B Cheng, C Fan, H Fu, J Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Construction workers' cognitive statuses affecting their safety and productivity are essential
for successful construction management. Electroencephalogram (EEG) provides a potential …

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 …

Consumer grade EEG measuring sensors as research tools: A review

P Sawangjai, S Hompoonsup… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …

[HTML][HTML] A systemic review of available low-cost EEG headsets used for drowsiness detection

J LaRocco, MD Le, DG Paeng - Frontiers in neuroinformatics, 2020 - frontiersin.org
Drowsiness is a leading cause of traffic and industrial accidents, costing lives and
productivity. Electroencephalography (EEG) signals can reflect awareness and …

A new concept of digital twin supporting optimization and resilience of factories of the future

A Bécue, E Maia, L Feeken, P Borchers, I Praça - Applied Sciences, 2020 - mdpi.com
Featured Application This work was elaborated in the frame of a collaborative innovation
project named CyberFactory# 1 which aims at enhancing optimization and resilience of …

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 …

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 …

Automated methods for activity recognition of construction workers and equipment: State-of-the-art review

B Sherafat, CR Ahn, R Akhavian… - Journal of …, 2020 - ascelibrary.org
Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …

Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology

J Li, H Li, W Umer, H Wang, X Xing, S Zhao… - Automation in …, 2020 - Elsevier
In the construction industry, the operator's mental fatigue is one of the most important causes
of construction equipment-related accidents. Mental fatigue can easily lead to poor …