Internet of Things and occupational well-being in industry 4.0: A systematic mapping study and taxonomy

R Bavaresco, H Arruda, E Rocha, J Barbosa… - Computers & Industrial …, 2021 - Elsevier
A high estimate of not only workplace fatal injuries but also nonfatal injuries and illnesses
via overexertion, and contact with objects, equipment, and machinery workplace has been …

Human-computer interaction in industry: A systematic review on the applicability and value-added of operator assistance systems

M Moencks, E Roth, T Bohné… - … and Trends® in …, 2022 - nowpublishers.com
Abstract In industry, the Fourth Industrial Revolution is transforming the roles of people,
technology and work on the shop floor. Despite ongoing strides towards automation, people …

Ergonomic risk assessment of construction workers and projects based on fuzzy Bayesian network and DS evidence theory

Y Tao, H Hu, F Xu, Z Zhang - Journal of Construction Engineering …, 2023 - ascelibrary.org
Work-related musculoskeletal disorders (WMSDs) are the main causes of physical diseases
of workers in the construction industry. The occurrence of WMSDs can result in project …

Automatic repetitive action counting for construction worker ergonomic assessment

X Chen, Y Yu - Automation in Construction, 2024 - Elsevier
Work-related musculoskeletal disorders are the primary cause of nonfatal occupational
injuries in the construction industry. Accurate ergonomic assessment is essential to reduce …

Recognizing the rooting action of prepartum sow in free-farrowing pen using computer vision

R Yang, Z Chen, H Xu, M Shen, P Li, T Norton… - … and Electronics in …, 2023 - Elsevier
The behavior of prepartum sows in natural or semi-natural environments is primarily
characterized by their motivation for nest-building. This behavior includes actions such as …

Counting activities using weakly labeled raw acceleration data: A variable-length sequence approach with deep learning to maintain event duration flexibility

G Sopidis, M Haslgrübler, A Ferscha - Sensors, 2023 - mdpi.com
This paper presents a novel approach for counting hand-performed activities using deep
learning and inertial measurement units (IMUs). The particular challenge in this task is …

[HTML][HTML] A gaze-driven manufacturing assembly assistant system with integrated step recognition, repetition analysis, and real-time feedback

H Chen, N Zendehdel, MC Leu, Z Yin - Engineering Applications of …, 2025 - Elsevier
Modern manufacturing faces significant challenges, including efficiency bottlenecks and
high error rates in manual assembly operations. To address these challenges, we …

A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and Use

E Awumey, S Das, J Forlizzi - The 2024 ACM Conference on Fairness …, 2024 - dl.acm.org
Modern advances in AI have increased employer interest in tracking workers' biometric
signals—eg, their brainwaves and facial expressions—to evaluate and make predictions …

On the OCRA measurement: Automatic computation of the dynamic technical action frequency factor

J Taborri, M Bordignon, F Marcolin, A Bertoz, M Donati… - Sensors, 2020 - mdpi.com
OCRA (OCcupational Repetitive Action) is currently one of the most widespread procedures
for assessing biomechanical risks related to upper limb repetitive movements. Frequency …

Physical Exertion Recognition Using Surface Electromyography and Inertial Measurements for Occupational Ergonomics

E Concha-Pérez, HG Gonzalez-Hernandez… - Sensors, 2023 - mdpi.com
By observing the actions taken by operators, it is possible to determine the risk level of a
work task. One method for achieving this is the recognition of human activity using …