[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations

TD Akinosho, LO Oyedele, M Bilal, AO Ajayi… - Journal of Building …, 2020 - Elsevier
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …

Implementation of kinetic and kinematic variables in ergonomic risk assessment using motion capture simulation: A review

MNH Yunus, MH Jaafar, ASA Mohamed… - International Journal of …, 2021 - mdpi.com
Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in
any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs …

Ergonomic risk assessment based on computer vision and machine learning

M MassirisFernández, JÁ Fernández, JM Bajo… - Computers & Industrial …, 2020 - Elsevier
We develop a novel method that performs accurate ergonomic risk assessment,
automatically computing Rapid Upper Limb Assessment (RULA) scores from snapshots or …

Wearable sensors for monitoring on-duty and off-duty worker physiological status and activities in construction

W Lee, KY Lin, E Seto, GC Migliaccio - Automation in Construction, 2017 - Elsevier
Abstract Total Worker Health®(TWH) integrates occupational health and safety with the
promotion of workers' off-duty wellbeing. Wearable sensors (eg, activity trackers and …

Ergonomic posture recognition using 3D view-invariant features from single ordinary camera

H Zhang, X Yan, H Li - Automation in Construction, 2018 - Elsevier
Manual construction tasks are physically demanding, requiring prolonged awkward postures
that can cause pain and injury. Person posture recognition (PPR) is essential in postural …

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 …

Wearables to improve efficiency, productivity, and safety of operations

K Balamurugan, TP Latchoumi… - … technologies for industry …, 2022 - taylorfrancis.com
The fourth industrial revolution was led by Industry 4.0, which turned traditional factories into
smart factories controlled by the Internet of Things (IoT). Because of the high incidence of …

Posture-related data collection methods for construction workers: A review

Y Yu, W Umer, X Yang, MF Antwi-Afari - Automation in construction, 2021 - Elsevier
Construction workers' posture-related data is closely connected with their safety, health, and
productivity performance. The importance of posture-related data has drawn the attention of …

In-field instrumented ergonomic risk assessment: Inertial measurement units versus Kinect V2

A Humadi, M Nazarahari, R Ahmad… - International Journal of …, 2021 - Elsevier
Musculoskeletal disorders are a major category of nonfatal work-related diseases in the
industry. Therefore, various risk factor assessment methods, such as Rapid Upper Limb …

Methods for measuring physical workload among commercial cleaners: A scoping review

W Lee, JH Lin, N Howard, S Bao - International Journal of Industrial …, 2022 - Elsevier
Commercial cleaning work is labor intensive. Previous research and insurance claim data
show that it exposes workers to physical risks of work-related musculoskeletal disorders …