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

Towards an ergonomic assessment framework for industrial assembly workstations—A case study

A Colim, C Faria, AC Braga, N Sousa, L Rocha… - Applied Sciences, 2020 - mdpi.com
Work-related musculoskeletal disorders (WMSD) are one of the main occupational health
problems. The best strategy to prevent them lies on ergonomic interventions. The variety of …

Action recognition based on 3D skeleton and LSTM for the monitoring of construction workers' safety harness usage

H Guo, Z Zhang, R Yu, Y Sun, H Li - Journal of Construction …, 2023 - ascelibrary.org
Fall from height (FFH) is the most common construction accident in the construction industry,
thus it is significant to monitor the use of safety harnesses, which are critical to the …

Cooperative sensing and wearable computing for sequential hand gesture recognition

X Zhang, Z Yang, T Chen, D Chen… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Hand gestures recognition (HGR) has been considered as one of the crucial research fields
of human-computer interaction (HCI). Computer vision is a very active research field in the …

Smart personal protective equipment for intelligent construction safety monitoring

A Rashidi, GL Woon, M Dasandara… - Smart and Sustainable …, 2024 - emerald.com
Purpose The construction industry remains one of the most hazardous industries worldwide,
with a higher number of fatalities and injuries each year. The safety and well-being of …

Machine learning approach to determine the decision rules in ergonomic assessment of working posture in sewing machine operators

JM Su, JH Chang, NLD Indrayani, CJ Wang - Journal of Safety Research, 2023 - Elsevier
Introduction: There are some inherent problems with the use of observation methods in the
ergonomic assessment of working posture, namely the stability and precision of the …

[PDF][PDF] Wearable-gait-analysis-based activity recognition: A review

S Ansah, D Chen - International Journal on Smart Sensing and …, 2022 - sciendo.com
Gait analysis has been recognized as an efficient method to help realize human activity
recognition; however, there is currently no existing review study focused on wearable activity …

Smart insole-based indoor localization system for Internet of Things applications

D Chen, H Cao, H Chen, Z Zhu, X Qian… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
With the development of Internet of Things (IoT), indoor localization has been a research
focus in recent years. For inertial measurement unit (IMU)-based indoor localization method …

Ergonomic intervention on a packing workstation with robotic aid–case study at a furniture manufacturing industry

A Colim, N Sousa, P Carneiro, N Costa, P Arezes… - Work, 2020 - journals.sagepub.com
BACKGROUND: Several risk factors among packing lines workers can lead to Work-related
Musculoskeletal Disorders (WRMSD) occurrence. Foreseeing WRMSD prevention and …

Ergonomic assessment and workstation design in a furniture manufacturing industry—a case study

A Colim, P Carneiro, N Costa, PM Arezes… - … and Environmental Safety …, 2019 - Springer
Ergonomics plays an important role to improve health, safety and productivity at workplaces.
Faced with the increasing incidence of Work-related Musculoskeletal Disorders (WMSD), the …