Abstract
AbstractCaregivers experience high musculoskeletal loads during their daily work, which leads to back complaints and a high rate of absenteeism at work. This reinforces the already existing discrepancy between the supply and demand of caregivers. Ergonomically correct working can significantly reduce musculoskeletal load. Therefore, we developed a system that recognizes potentially harmful body postures. In a study with 13 caregiver students, we analyzed the body postures, as well as muscle activities, and loads during the transfer of a patient from bed to wheelchair. The body postures were measured by a full-body motion capture system and a Multi-Kinect System. Muscle activities and loads were recorded via surface electromyography and a force plate. The posture analysis system is based on the motion capture data and considers the recommendations for ergonomic working in the care sector. The system generates a result report visualizing the skeleton model as well as color-coded information about inclination and torsion angles. The motion capture data were also related to EMG and force data and analyzed according to biomechanical assumptions.
Funder
Niedersächsische Ministerium für Wissenschaft und Kultur
Carl von Ossietzky Universität Oldenburg
Publisher
Springer Science and Business Media LLC
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