[HTML][HTML] Motion capture technology in industrial applications: A systematic review

M Menolotto, DS Komaris, S Tedesco, B O'Flynn… - Sensors, 2020 - mdpi.com
The rapid technological advancements of Industry 4.0 have opened up new vectors for novel
industrial processes that require advanced sensing solutions for their realization. Motion …

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 …

[HTML][HTML] Automated workers' ergonomic risk assessment in manual material handling using sEMG wearable sensors and machine learning

SE Mudiyanselage, PHD Nguyen, MS Rajabi… - Electronics, 2021 - mdpi.com
Manual material handling tasks have the potential to be highly unsafe from an ergonomic
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …

Associations between physical or psychosocial risk factors and work-related musculoskeletal disorders in construction workers based on literature in the last 20 years …

S Anwer, H Li, MF Antwi-Afari, AYL Wong - International Journal of …, 2021 - Elsevier
The current systematic review aimed to summarize prevalence rates of work-related
musculoskeletal disorders (WRMSDs) and quantify the associations between physical or …

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 …

Trustworthy AI and robotics: Implications for the AEC industry

N Emaminejad, R Akhavian - Automation in Construction, 2022 - Elsevier
Human-technology interaction is concerned with trust as an inevitable user acceptance
requirement. As the applications of artificial intelligence (AI) and robotics emerge in the …

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network

W Fang, B Zhong, N Zhao, PE Love, H Luo… - Advanced Engineering …, 2019 - Elsevier
Structural supports (eg, concrete and steel) provide engineering structures with stability by
transferring loads. During the construction of an engineering structure, individuals are often …

ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors

SS Bangaru, C Wang, SA Busam… - Automation in …, 2021 - Elsevier
Construction worker activity recognition is essential for worker performance and safety
assessment. With the development of wearable sensing technologies, many researchers …

An automatic and non-invasive physical fatigue assessment method for construction workers

Y Yu, H Li, X Yang, L Kong, X Luo, AYL Wong - Automation in construction, 2019 - Elsevier
The construction industry around the globe has unsatisfactory occupational health and
safety records. One of the major reasons is attributed to high physical demands and hostile …

An in-depth survey demystifying the Internet of Things (IoT) in the construction industry: Unfolding new dimensions

K Khurshid, A Danish, MU Salim, M Bayram… - Sustainability, 2023 - mdpi.com
In this digital era, many industries have widely adopted the Internet of Things (IoT), yet its
implementation in the construction industry is relatively limited. Integration of Construction …