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 sco** 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 sco** review was …

Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion

JZ Wang, S Zhao, C Wu, RB Adams… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

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 …

Wearable sensing devices: towards the development of a personalized system for construction safety and health risk mitigation

C Nnaji, I Awolusi, JW Park, A Albert - Sensors, 2021 - mdpi.com
Wearable sensing devices (WSDs) are increasingly hel** workers stay safe and healthy in
several industries. However, workers, especially in the construction industry, have shown …

[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 …

Critical success factors influencing wearable sensing device implementation in AEC industry

C Nnaji, I Awolusi - Technology in Society, 2021 - Elsevier
The present study investigates the success factors (SFs) for implementing wearable sensing
devices (WSDs) for safety and health monitoring within the construction industry. A …

[HTML][HTML] Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing

J Yang, Y Liu, PL Morgan - Digital Engineering, 2024 - Elsevier
Since the concept of Industry 5.0 was proposed, the emphasis on human-machine
interaction (HMI) in industrial scenarios has continued to increase. HMI is part of the factory's …

Human reliability modeling in occupational environments toward a safe and productive operator 4.0

SK Kheiri, Z Vahedi, H Sun, FM Megahed… - International Journal of …, 2023 - Elsevier
Many occupational environments require labor intensive activities, which could result in
fatigue and injuries and cause decreased work performance. Recently, the breakthroughs of …

A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors

S Hajifar, H Sun, FM Megahed, LA Jones-Farmer… - Applied Ergonomics, 2021 - Elsevier
Advancements in sensing and network technologies have increased the amount of data
being collected to monitor the worker conditions. In this study, we consider the use of time …