[HTML][HTML] The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A scoping review

VCH Chan, GB Ross, AL Clouthier, SL Fischer… - Applied Ergonomics, 2022 - Elsevier
To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a scoping review was …

Evaluation of physiological metrics as real-time measurement of physical fatigue in construction workers: state-of-the-art review

S Anwer, H Li, MF Antwi-Afari, W Umer… - Journal of Construction …, 2021 - ascelibrary.org
Physical fatigue is a major health and safety–related problem among construction workers.
Many previous studies relied on interviews and/or questionnaire to assess physical fatigue …

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 …

A science mapping-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 …

Assessment of a passive exoskeleton system on spinal biomechanics and subjective responses during manual repetitive handling tasks among construction workers

MF Antwi-Afari, H Li, S Anwer, D Li, Y Yu, HY Mi… - Safety science, 2021 - Elsevier
An exoskeleton system can be an effective ergonomic intervention for mitigating the risks of
developing work-related musculoskeletal disorders, yet little attention is given to the effects …

[HTML][HTML] Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography …

I Mehmood, H Li, W Umer, A Arsalan, S Anwer… - Developments in the …, 2023 - Elsevier
Construction equipment operations that require high levels of attention can cause mental
fatigue, which can lead to inefficiencies and accidents. Previous studies classified mental …

Wearable sensors and artificial intelligence for physical ergonomics: A systematic review of literature

L Donisi, G Cesarelli, N Pisani, AM Ponsiglione… - Diagnostics, 2022 - mdpi.com
Physical ergonomics has established itself as a valid strategy for monitoring potential
disorders related, for example, to working activities. Recently, in the field of physical …

Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device

MF Antwi-Afari, S Anwer, W Umer, HY Mi, Y Yu… - International Journal of …, 2023 - Elsevier
Construction is known for being a labor-intensive and risky industry. Within various
occupational settings such as construction, physical fatigue is an underlying health condition …

Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research …

Z Zhou, L Wei, J Yuan, J Cui, Z Zhang, W Zhuo… - Advanced Engineering …, 2023 - Elsevier
Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …

Heart rate modeling and prediction of construction workers based on physical activity using deep learning

M Ghafoori, C Clevenger, M Abdallah, K Rens - Automation in Construction, 2023 - Elsevier
Construction projects require long working hours where workers are subjected to intensive
tasks such as hard manual labor, heavy weightlifting, and compulsive working postures …