[HTML][HTML] Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0

B Gladysz, T Tran, D Romero, T van Erp… - Journal of Manufacturing …, 2023 - Elsevier
Abstract Technology-driven Industry 4.0 (I4. 0) paradigm combined with human-centrism,
sustainability, and resilience orientation, forms the Industry 5.0 (I5. 0) paradigm, providing …

Machine learning and smart devices for diabetes management: Systematic review

MA Makroum, M Adda, A Bouzouane, H Ibrahim - Sensors, 2022 - mdpi.com
(1) Background: The use of smart devices to better manage diabetes has increased
significantly in recent years. These technologies have been introduced in order to make life …

Recent advances on paper-based microfluidic devices for bioanalysis

HA Silva-Neto, IVS Arantes, AL Ferreira… - TrAC Trends in …, 2023 - Elsevier
Paper-based microfluidic devices have emerged as powerful platforms for bioanalysis
offering advantages over other substrate materials including simpler fabrication protocols …

Wearable motion capture devices for the prevention of work-related musculoskeletal disorders in ergonomics—an overview of current applications, challenges, and …

CM Lind, F Abtahi, M Forsman - Sensors, 2023 - mdpi.com
Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability
worldwide and substantial societal costs. The use of wearable motion capture instruments …

Recent advances in multidimensional (1D, 2D, and 3D) composite sensors derived from MXene: synthesis, structure, application, and perspective

L Wang, M Zhang, B Yang, J Tan, X Ding, W Li - Small Methods, 2021 - Wiley Online Library
With the advent of the era of intelligent manufacturing, sensors, with various detection
objects, have set off a wave of enthusiasm and reached new heights in medical treatment …

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

Wearable sensors and artificial intelligence for physical ergonomics: A systematic review of literature

L Donisi, G Cesarelli, N Pisani, AM Ponsiglione… - Diagnostics, 2022 - mdpi.com
Physical ergonomics has established itself as a valid strategy for monitoring potential
disorders related, for example, to working activities. Recently, in the field of physical …

Mobile computer vision-based applications for food recognition and volume and calorific estimation: A systematic review

LM Amugongo, A Kriebitz, A Boch, C Lütge - Healthcare, 2022 - mdpi.com
The growing awareness of the influence of “what we eat” on lifestyle and health has led to
an increase in the use of embedded food analysis and recognition systems. These solutions …

Wearable devices for environmental monitoring in the built environment: a systematic review

F Salamone, M Masullo, S Sibilio - Sensors, 2021 - mdpi.com
The so-called Internet of Things (IoT), which is rapidly increasing the number of network-
connected and interconnected objects, could have a far-reaching impact in identifying the …

WEM-Platform: A real-time platform for full-body ergonomic assessment and feedback in manufacturing and logistics systems

D Battini, N Berti, S Finco, M Guidolin… - Computers & Industrial …, 2022 - Elsevier
This article presents a new real-time full-body ergonomic platform: the Workforce
Ergonomics and Management Platform (WEM-Platform). It provides ergonomic assessments …