A data-driven fatigue prediction using recurrent neural networks

A Lambay, Y Liu, P Morgan, Z Ji - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Industrial revolution 4.0 has marked the era of advances in interaction among machines and
humans and cultivate automation. However, manufacturing industries still have tasks which …

Analysis of upper-limb muscle fatigue in the process of rotary handling

N Yu, L Hong, J Guo - International Journal of Industrial Ergonomics, 2021 - Elsevier
Workers engaged in repetitive manual material handling (MMH) generally suffer from work-
related musculoskeletal disorders (WMSDs), particularly in the arms, shoulders, neck, and …

Robust planning of sanitation services in urban informal settlements: An analytical framework

RJP Schmitt, E Morgenroth, TA Larsen - Water research, 2017 - Elsevier
New types of sanitation services are emerging to tackle the sanitation crisis in informal
settlements. These services link toilet facilities to semi-decentralized treatment plants via …

Muscle fatigue assessment in manual handling of loads using motion analysis and accelerometers: A short review

FG Bernardo, RP Martins… - Occupational Safety and …, 2018 - taylorfrancis.com
Muscle fatigue can cause productivity loss, human errors, unsafe actions, injuries and Work
Related Musculoskeletal Disorders (WMSDs). To compensate muscle fatigue, people adapt …

[HTML][HTML] Data-Driven Approach for Upper Limb Fatigue Estimation Based on Wearable Sensors

S Otálora, MEV Segatto, ME Monteiro, M Múnera… - Sensors, 2023 - mdpi.com
Muscle fatigue is defined as a reduced ability to maintain maximal strength during voluntary
contraction. It is associated with musculoskeletal disorders that affect workers performing …

[PDF][PDF] Regular paper EMG Signal Analysis of Fatigue Muscle Activity in Manual Lifting

TNS Tengku, AR Abdullah - J. Electrical Systems, 2015 - academia.edu
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Defatigue: Online non-intrusive fatigue detection by a robot co-worker

P Pramanick, C Sarkar - 2018 27th IEEE International …, 2018 - ieeexplore.ieee.org
A robot as a companion or co-worker is not an emerging concept anymore, but a reality.
However, one of the major barriers to this realization is the seamless interaction with the …

Performance Comparison of EMG Signal Analysis for Manual Lifting using Spectrogram

T Zawawi, AR Abdullah, EF Shair… - … Electronic and Computer …, 2016 - jtec.utem.edu.my
Electromyography (EMG) signal is non-stationary signal and highly complex time and
frequency characteristics. Fast-Fourier transform common technique in signal processing …

The Effects of Muscle Fatigue on Synergy During Human Lifting Motion

P Yu, M Pang, J Luo, K Xiang… - … Conference on Advanced …, 2022 - ieeexplore.ieee.org
Muscle fatigue in human lifting motion has been found to be one key factor of repetitive
stress injury (RSI). Investigating muscle fatigue in this motion could provide valuable clues in …

A Review of Electromyography Signal Analysis of Fatigue Muscle for Manual Lifting

T Zawawi, AR Abdullah, R Sudirman… - … and Design (ICCED), 2020 - ieeexplore.ieee.org
Electromyography (EMG) signal is decidedly complex time and frequency characteristics.
The common technique of Fast-Fourier transform is applied in signal processing involving …