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

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

In order to expand the field of view and measuremenst range, the camera is often mounted
on a two-axis turntable to perform various visual tasks. And the calibration of the position …

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 …

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

For the application of computer vision, this paper proposes a combination of machine
language coding method and wavelet neural network positioning method to build a robot …

Low-back musculoskeletal disorders (MSDs) are the primary work-related injuries among
manual material handling (MMH) workers, who are frequently exposed to repetitive lifting. To …

To solve the trouble of cervical vertebra disease caused by long working hours, this work is
aimed at designing an active monitor stand to achieve the best dynamic trajectory planning …

OCCUPATIONAL APPLICATIONS Physical workload may lead to negative outcomes,
including musculoskeletal disorders. In this study, we found that there were observable …

Computer vision (CV) has been widely applied in many fields, including construction safety.
As a factor of construction safety, ergonomic risk is receiving more and more attention …