Subject-specific body segment parameter estimation using 3D photogrammetry with multiple cameras.

ABSTRACT: Inertial properties of body segments, such as mass, centre of mass or moments of inertia, are important parameters when studying movements of the human body. However, these quantities are not directly measurable. Current approaches include using regression models which have limited accuracy: geometric models with lengthy measuring procedures or acquiring and post-processing MRI scans of participants. We propose a geometric methodology based on 3D photogrammetry using multiple cameras to provide subject-specific body segment parameters while minimizing the interaction time with the participants. A low-cost body scanner was built using multiple cameras and 3D point cloud data generated using structure from motion photogrammetric reconstruction algorithms. The point cloud was manually separat

SUBMITTER: Peyer KE 

PROVIDER: S-EPMC4359122 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature