Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING(2020)
摘要
Systems for instrumented motion analysis depend on an accurate biomechanical model. In this work an existing statistical shape fitting approach was adapted to register a parametrized human surface model with annotated anatomical landmarks to a point cloud obtained from one frontal depth camera view. Based on the obtained landmark positions joint centers, segment lengths and segment orientations of the lower body were calculated. The outcome was validated among two groups of healthy and impaired subjects, using a marker-based optical motion capture system. The results reveal a valid and reliable approach for obtaining an individualized lower body biomechanical model with minimum effort.
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关键词
Anthropometric data,inertial measurement unit,joint center,movement analysis,marker less shape estimation,segment length
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