Wearable devices for ergonomics: A systematic literature review
Wearable devices are pervasive solutions for increasing work efficiency, improving workers'
well-being, and creating interactions between users and the environment anytime and …
well-being, and creating interactions between users and the environment anytime and …
Work-related risk assessment according to the revised NIOSH lifting equation: A preliminary study using a wearable inertial sensor and machine learning
Many activities may elicit a biomechanical overload. Among these, lifting loads can cause
work-related musculoskeletal disorders. Aspiring to improve risk prevention, the National …
work-related musculoskeletal disorders. Aspiring to improve risk prevention, the National …
Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH
Many work activities can imply a biomechanical overload. Among these activities, lifting
loads may determine work-related musculoskeletal disorders. In order to limit injuries, the …
loads may determine work-related musculoskeletal disorders. In order to limit injuries, the …
Exposures to select risk factors can be estimated from a continuous stream of inertial sensor measurements during a variety of lifting-lowering tasks
S Lim - Ergonomics, 2024 - Taylor & Francis
Wearable inertial measurement units (IMUs) are used increasingly to estimate
biomechanical exposures in lifting-lowering tasks. The objective of the study was to develop …
biomechanical exposures in lifting-lowering tasks. The objective of the study was to develop …
Tactile Gloves Predict Load Weight During Lifting With Deep Neural Networks
Overexertion in lifting tasks is one of the leading causes of occupational injuries. The load
weight is the key information required to evaluate the risk of a lifting task. However, weight …
weight is the key information required to evaluate the risk of a lifting task. However, weight …
Use of a wearable electromyography armband to detect lift-lower tasks and classify hand loads
We used an armband with embedded surface electromyography (sEMG) electrodes,
together with machine-learning (ML) models, to automatically detect lifting-lowering activities …
together with machine-learning (ML) models, to automatically detect lifting-lowering activities …
[HTML][HTML] Development of a wireless smart sensor system and case study on lifting risk assessment
With the widespread adoption of Industry 4.0 and smart manufacturing concepts across
industries, sensor development, system integration, and data analysis have become …
industries, sensor development, system integration, and data analysis have become …
Functional Data Representation of Inertial Sensor-based Torso-Thigh, Knee, and Ankle Movements during Lifting
This study examined the goodness-of-fit of using a sigmoid function to characterize time-
series angular displacement trajectories during two-handed anterior lifting. Twenty-six …
series angular displacement trajectories during two-handed anterior lifting. Twenty-six …
Upper Body Joint Angle Calculation and Analysis Using Multiple Inertial Measurement Units
Understanding how workers move in professions that require unnatural posture can help
find solutions to work-related musculoskeletal disorders (WMSDs) that are common in such …
find solutions to work-related musculoskeletal disorders (WMSDs) that are common in such …
[PDF][PDF] Armband EMG-based Lifting Detection and Load Classification Algorithms using Static and Dynamic Lifting Trials
SP Taori - 2023 - vtechworks.lib.vt.edu
The high prevalence of work-related musculoskeletal disorders in occupational settings
necessitates the development of economic, accurate, and convenient methods for …
necessitates the development of economic, accurate, and convenient methods for …