Authors:
Sandra Hellmers
1
;
Anna Brinkmann
1
;
Conrad Fifelski-Von Böhlen
1
;
Sandra Lau
2
;
Rebecca Diekmann
1
and
Andreas Hein
1
Affiliations:
1
Assistance Systems and Medical Device Technology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
;
2
Geriatric Medicine, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
Keyword(s):
Motion Capture, IMU, EMG, Care, Nursing, Musculoskeletal, Technology, Wearable, Posture, Kinect.
Abstract:
Socio-Demographic developments in industrialized countries cause a discrepancy between potential recipients and providers of care. Caregivers experience high musculoskeletal loads during their daily work, which leads to back complaints and a high rate of absenteeism at work. Ergonomically correct working can significantly reduce musculoskeletal load. In a study with 13 caregiver students, we analyzed body postures, muscle activities, and loads during the transfer of a patient from bed to wheelchair. Our measurement system consists of a full-body motion capture system and a Multi Kinect System. Additionally, muscle activities were measured via surface electromyography. According to recommendations for ergonomic working in the care sector, a system was developed that recognizes potentially harmful postures based on the motion capture data. A result report visualizes the skeleton model together with color-coded information about inclination and torsion angles. The motion capture data wa
s also related to EMG data and analyzed according to biomechanical assumptions.
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