Excessive physical workload resulting from prolonged manual work in awkward constrained postures and high force exertions are known risk factors for musculoskeletal injuries. Traditional ergonomics methods such as video recording, 3D motion capture and electrogoniometry for recording body postures at work sites are cumbersome, obtrusive and challenging. This project aims to develop new methods for ergonomics posture assessment using low-cost body-worn inertial sensors.
This project will validate use of low-cost body-mounted inertial sensors for ergonomics posture assessment. The project will result in a preliminary methodology for using IMUs in more sensitive and continuous occupational exposure assessment and sets the stage for future studies examining occupational exposures among healthcare workers in diverse patient-care settings. The ability to classify body postures and generate more precise exposure profiles would significantly improve our capability to assess injury risk, identify prevention strategies and evaluate effectiveness of interventions over prolonged periods of time.
In the context of patient handling, this project will generate metrics to objectively evaluate posture demand and workload in lift team staff and to refine theories on the mechanism and progression of injury risk in healthcare workers.
This work is funded by a Pilot Project Research Traineeship award to S. Lim through the U-M Center for Occupational Health and Safety Engineering Training Grant #T42-OH008455 from the National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention.