Motion capture technology in industrial applications: A systematic review

M Menolotto, DS Komaris, S Tedesco, B O'Flynn… - Sensors, 2020 - mdpi.com
The rapid technological advancements of Industry 4.0 have opened up new vectors for novel
industrial processes that require advanced sensing solutions for their realization. Motion …

Wearable inertial sensors for human movement analysis: a five-year update

P Picerno, M Iosa, C D'Souza… - Expert review of …, 2021 - Taylor & Francis
Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …

Top ten intelligent algorithms towards smart manufacturing

M Zhang, F Tao, Y Zuo, F Xiang, L Wang… - Journal of Manufacturing …, 2023 - Elsevier
Intelligent algorithms can empower the development of smart manufacturing, since they can
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …

A systematic literature review of innovative technologies adopted in logistics management

A Lagorio, G Zenezini, G Mangano… - International Journal of …, 2022 - Taylor & Francis
Many innovative technologies have been successfully adopted in logistics and supply chain
management processes to increase efficiency, reduce costs or enhance communication. In …

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] 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 data analytic framework for physical fatigue management using wearable sensors

ZS Maman, YJ Chen, A Baghdadi, S Lombardo… - Expert Systems with …, 2020 - Elsevier
The use of expert systems in optimizing and transforming human performance has been
limited in practice due to the lack of understanding of how an individual's performance …

Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole device

MF Antwi-Afari, S Anwer, W Umer, HY Mi, Y Yu… - International Journal of …, 2023 - Elsevier
Construction is known for being a labor-intensive and risky industry. Within various
occupational settings such as construction, physical fatigue is an underlying health condition …

Industry 5.0 and triple bottom line approach in supply chain management: the state-of-the-art

V Varriale, A Cammarano, F Michelino, M Caputo - Sustainability, 2023 - mdpi.com
Digital technologies could be key to solving several open issues in the context of supply
chain management (SCM) and sustainable development. The purpose of this article is to …

An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration

H Zhou, G Yang, B Wang, X Li, R Wang… - Journal of Manufacturing …, 2023 - Elsevier
In line with a human-centric smart manufacturing vision, human-robot collaboration is
striving to combine robots' high efficiency and quality with humans' rapid adaptability and …