[HTML][HTML] A review on mental stress assessment methods using EEG signals

R Katmah, F Al-Shargie, U Tariq, F Babiloni… - Sensors, 2021 - mdpi.com
Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …

Removal of artifacts from EEG signals: a review

X Jiang, GB Bian, Z Tian - Sensors, 2019 - mdpi.com
Electroencephalogram (EEG) plays an important role in identifying brain activity and
behavior. However, the recorded electrical activity always be contaminated with artifacts and …

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 …

Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry

CJ Liang, TH Le, Y Ham, BRK Mantha… - Automation in …, 2024 - Elsevier
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

A comparative analysis of signal processing and classification methods for different applications based on EEG signals

A Khosla, P Khandnor, T Chand - Biocybernetics and Biomedical …, 2020 - Elsevier
Electroencephalogram (EEG) measures the neuronal activities in the form of electric
currents that are generated due to the synchronized activity by a group of specialized …

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 …

Deep learning-based construction equipment operators' mental fatigue classification using wearable EEG sensor data

I Mehmood, H Li, Y Qarout, W Umer, S Anwer… - Advanced Engineering …, 2023 - Elsevier
Operator attention failure due to mental fatigue during extended equipment operations is a
common cause of equipment-related accidents that result in catastrophic injuries and …

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 …

A science map**-based review of work-related musculoskeletal disorders among construction workers

MF Antwi-Afari, H Li, AHS Chan, JO Seo, S Anwer… - Journal of safety …, 2023 - Elsevier
Introduction: Work-related musculoskeletal disorders (WMSDs) are recognized as a leading
cause of nonfatal injuries in construction, but no review of existing studies has systematically …

A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans

S Sharma, G Singh, M Sharma - Computers in Biology and Medicine, 2021 - Elsevier
Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …