Trends in workplace wearable technologies and connected‐worker solutions for next‐generation occupational safety, health, and productivity

V Patel, A Chesmore, CM Legner… - Advanced Intelligent …, 2022 - Wiley Online Library
The workplace influences the safety, health, and productivity of workers at multiple levels. To
protect and promote total worker health, smart hardware, and software tools have emerged …

New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

Human-centric artificial intelligence architecture for industry 5.0 applications

JM Rožanec, I Novalija, P Zajec, K Kenda… - … journal of production …, 2023 - Taylor & Francis
Human-centricity is the core value behind the evolution of manufacturing towards Industry
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …

Fatigue monitoring through wearables: A state-of-the-art review

NR Adão Martins, S Annaheim, CM Spengler… - Frontiers in …, 2021 - frontiersin.org
The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …

[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 …

A survey of human gait-based artificial intelligence applications

EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

[HTML][HTML] Exploring how new industrial paradigms affect the workforce: A literature review of Operator 4.0.

M Ciccarelli, A Papetti, M Germani - Journal of Manufacturing Systems, 2023 - Elsevier
The ongoing paradigm transition from Industry 4.0 to Industry 5.0 is driving toward a new
industrial vision rooted in addressing human and planetary needs rather than solely …

Smart operators: How Industry 4.0 is affecting the worker's performance in manufacturing contexts

M Salvatore, R Stefano - Procedia Computer Science, 2021 - Elsevier
The fourth industrial revolution is affecting the workforce at strategical, tactical, and
operational levels and it is leading to the development of new careers with precise and …

A systematic review on evaluation strategies for field assessment of upper-body industrial exoskeletons: Current practices and future trends

PM Kuber, M Abdollahi, MM Alemi… - Annals of Biomedical …, 2022 - Springer
With rising manual work demands, physical assistance at the workplace is crucial, wherein
the use of industrial exoskeletons (i-EXOs) could be advantageous. However, outcomes of …

[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 …