Wearable devices for ergonomics: A systematic literature review

E Stefana, F Marciano, D Rossi, P Cocca, G Tomasoni - Sensors, 2021 - mdpi.com
Wearable devices are pervasive solutions for increasing work efficiency, improving workers'
well-being, and creating interactions between users and the environment anytime and …

[HTML][HTML] Worker's physical fatigue classification using neural networks

E Escobar-Linero, M Domínguez-Morales… - Expert Systems with …, 2022 - Elsevier
Physical fatigue is not only an indication of the user's physical condition and/or need for
sleep or rest, but can also be a significant symptom of various diseases. This fatigue affects …

Workforce learning curves for human-Based assembly operations: A state-of-the-Art review

C Pena, D Romero, J Noguez - Applied Sciences, 2022 - mdpi.com
In this state-of-the-art review, the authors explore the recent advancements in the topics of
learning curve models and their estimation methods for manual operations and processes …

A logistic regression model for biomechanical risk classification in lifting tasks

L Donisi, G Cesarelli, E Capodaglio, M Panigazzi… - Diagnostics, 2022 - mdpi.com
Lifting is one of the most potentially harmful activities for work-related musculoskeletal
disorders (WMSDs), due to exposure to biomechanical risk. Risk assessment for work …

Added value of motion capture technology for occupational health and safety innovations

S Winiarski, D Molek-Winiarska, B Chomątowska… - Human …, 2021 - wir.ue.wroc.pl
Ergonomic principles in production assembly and manufacturing operations have become
an essential part of comprehensive health and safety innovations. We aim to provide new …

DIGITAL MEASUREMENT OF EMPLOYEE STRESS AND FATIGUE IN ARTIFICIAL INTELLIGENCE-DRIVEN WORKFORCE MANAGEMENT ENVIRONMENTS: AN …

A Dalnoki, MI Islam - EPRA International Journal of …, 2023 - eprajournals.net
Effective fatigue management in the workplace is associated with employee well-being,
safety, and productivity. Fatigue, often resulting from inadequate rest and high workloads …

Razvoj i primena pametnih IoT tehnologija za odeću specijalne namene

N Maksimović - Универзитет Сингидунум, 2024 - nardus.mpn.gov.rs
Istraživanja su pokazala da nosiva tehnologija i senzori mogu efikasno da poboljšaju
posturu ljudskog tela i smanje rizik od povreda u različitim radnimokruženjima, uključujući …

[PDF][PDF] Development of a Model using Machine Learning Intended to be Embedded in a Wearable Device to Detect Muscle Fatigue based on sEMG Data Associated …

MM Islam - 2021 - era.library.ualberta.ca
Background: Muscle fatigue is the progressive reduction in a muscle's ability to contract and
exert force when performing a sustained task. Muscle fatigue may prevent the task from …

Protocols and Test Development for the evaluation of an innovative wearable interface in the context of work related-MSDs

M Scutari - 2021 - politesi.polimi.it
Abstract Work-related Musculoskeletal Disorders (WRMSDs) constitute a major health
problem for employees, and the economic consequences are substantial for the individuals …