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 …

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 …

[HTML][HTML] 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 …

A data-driven approach to modeling physical fatigue in the workplace using wearable sensors

ZS Maman, MAA Yazdi, LA Cavuoto, FM Megahed - Applied ergonomics, 2017 - Elsevier
Wearable sensors are currently being used to manage fatigue in professional athletics,
transportation and mining industries. In manufacturing, physical fatigue is a challenging …

Wearable sensors and their metrics for measuring comprehensive occupational fatigue: A scoping review

Y Zhu, RR Jankay, LC Pieratt… - Proceedings of the …, 2017 - journals.sagepub.com
Extensive research has been conducted to study the effects of physical and sleep related
fatigue on occupational health and safety. However, fatigue is a complex multidimensional …

Real-time forecasting of exercise-induced fatigue from wearable sensors

Y Jiang, P Malliaras, B Chen, D Kulić - Computers in Biology and Medicine, 2022 - Elsevier
Although a number of studies attempt to classify human fatigue, most models can only
identify fatigue after fatigue has already occurred. In this paper, we propose a novel time …

A machine learning approach to detect changes in gait parameters following a fatiguing occupational task

A Baghdadi, FM Megahed, ET Esfahani, LA Cavuoto - Ergonomics, 2018 - Taylor & Francis
The purpose of this study is to provide a method for classifying non-fatigued vs. fatigued
states following manual material handling. A method of template matching pattern …

Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters

A Baghdadi, LA Cavuoto, A Jones-Farmer… - Journal of quality …, 2021 - Taylor & Francis
The goal of this case study is to answer four research questions related to fatigue through
features derived from wearable sensors to measure patterns in steps:(1) How do important …

Model-based data augmentation for user-independent fatigue estimation

Y Jiang, P Malliaras, B Chen, D Kulić - Computers in Biology and Medicine, 2021 - Elsevier
Objective User-independent recognition of exercise-induced fatigue from wearable motion
data is challenging, due to inter-participant variability. This study aims to develop algorithms …

Measuring fatigue through heart rate variability and activity recognition: A scoping literature review of machine learning techniques

K Gonzalez, F Sasangohar, RK Mehta… - Proceedings of the …, 2017 - journals.sagepub.com
A scoping literature review was conducted to summarize the current research trends in
fatigue identification with applications to human activity recognition through the use of …