To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a scoping review was …

Physical ergonomics has established itself as a valid strategy for monitoring potential
disorders related, for example, to working activities. Recently, in the field of physical …

Ergonomic risks, driven by strenuous physical demands in complex work settings, are
prevalent across industries. Addressing these challenges through detailed assessment and …

The rapid development of machine learning (ML) technology has introduced substantial
impact on ergonomics research in manufacturing. Numerous studies and practices have …

People often interact with their surroundings by applying pressure with their hands. While
hand pressure can be measured by placing pressure sensors between the hand and the …

The main objectives of this study were to 1) review the literature on the applications of soft
computing concepts to the field of human factors and ergonomics (HFE) between 2013 and …

The objective of this study was to accurately predict the grip strength using a deep learning-
based method (eg, multi-layer perceptron [MLP] regression). The maximal grip strength with …

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 …

A high test–retest reliability in measurement of pinch force sense is required to assess a
clinical parameter accurately over a longitudinal study. Ipsilateral reproduction (IR) task and …

nbsp; In most industrialized countries, work-related musculoskeletal disorders (WMSDs) are
a major occupational health problem resulting in productivity loss, employee absenteeism …