Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Taetz, Bertram; Teufl, Wolfgang; Weidmann, Alexander; Pietschmann, Juliane; Jöllenbeck, Thomas; Bleser, Gabriele
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 23:Issue 1(2020)
• Page Start: 12
• Page End: 22
• Publication Date: 2020-01-02
• Subjects: Anthropometric data -- inertial measurement unit -- joint center -- movement analysis -- marker less shape estimation -- segment length; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2019.1688310
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract: 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.