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People Lifting Patterns-A Reference Dataset for Practitioners
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DOI：10.3390/s21093142.png)
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Abstract
En 中文
Many health professionals do not use correct person transfer techniques in their daily practice. This results in damage to the paraspinal musculature over time, resulting in lower back pain and injuries. In this work, we propose an approach for the accurate multimodal measurement of people lifting and related motion patterns for ergonomic education regarding the application of correct patient transfer techniques. Several examples of person lifting were recorded and processed through accurate instrumentation and the well-defined measurements of kinematics, kinetics, surface electromyography of muscles as well as multicamera video. This resulted in a complete measurement protocol and unique reference datasets of correct and incorrect lifting schemes for caregivers and patients. This understanding of multimodal motion patterns provides insights for further independent investigations.
Keywords:
human motion dataset
ergonomics in people lifting
tag detection
human motion lab
decision support
recommending systems
data processing tag detection
motion analysis
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