Wearable motion capture devices for the prevention of work-related musculoskeletal disorders in ergonomics—an overview of current applications, challenges, and …

CM Lind, F Abtahi, M Forsman - Sensors, 2023 - mdpi.com
Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability
worldwide and substantial societal costs. The use of wearable motion capture instruments …

Machine learning in pain medicine: an up-to-date systematic review

M Matsangidou, A Liampas, M Pittara, CS Pattichi… - Pain and therapy, 2021 - Springer
Introduction Pain is the unpleasant sensation and emotional experience that leads to poor
quality of life for millions of people worldwide. Considering the complexity in understanding …

Work-related risk assessment according to the revised NIOSH lifting equation: A preliminary study using a wearable inertial sensor and machine learning

L Donisi, G Cesarelli, A Coccia, M Panigazzi… - Sensors, 2021 - mdpi.com
Many activities may elicit a biomechanical overload. Among these, lifting loads can cause
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

L Donisi, E Capodaglio, G Pagano… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
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 …

Machine learning for detection and risk assessment of lifting action

B Thomas, ML Lu, R Jha… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Repetitive occupational lifting has been shown to create an increased risk for incidence of
back pain. Ergonomic workstations that promote proper lifting technique can reduce risk, but …

Applications of artificial intelligence in pain medicine

A Abd-Elsayed, CL Robinson, Z Marshall… - Current Pain and …, 2024 - Springer
Abstract Purpose of Review This review explores the current applications of artificial
intelligence (AI) in the field of pain medicine with a focus on machine learning. Recent …

Smart vision-based analysis and error deduction of human pose to reduce musculoskeletal disorders in construction

MB Purushothaman, KM Gedara - Smart and Sustainable Built …, 2023 - emerald.com
Purpose This pragmatic research paper aims to unravel the smart vision-based method
(SVBM), an AI program to correlate the computer vision (recorded and live videos using …

A computer vision approach for estimating lifting load contributors to injury risk

G Zhou, V Aggarwal, M Yin, D Yu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Safety practitioners widely use the lifting index (LI) to determine workers' lifting risk but are
hampered by the difficulties of estimating the lifting load without intervention or intrusive …

Classification algorithms trained on simple (symmetric) lifting data perform poorly in predicting hand loads during complex (free-dynamic) lifting tasks

S Taori, S Lim - Applied Ergonomics, 2025 - Elsevier
The performance of machine learning (ML) algorithms is dependent on which dataset it has
been trained on. While ML algorithms are increasingly used for lift risk assessment, many …

[HTML][HTML] Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities

G Prisco, MA Pirozzi, A Santone, M Cesarelli… - Diagnostics, 2025 - mdpi.com
Background/Objectives: Long-term work-related musculoskeletal disorders are
predominantly influenced by factors such as the duration, intensity, and repetitive nature of …