Markerless motion capture can provide reliable 3D gait kinematics in the sagittal and frontal plane

被引:69
|
作者
Sandau, Martin [1 ,2 ]
Koblauch, Henrik [1 ]
Moeslund, Thomas B. [3 ]
Aanaes, Henrik [4 ]
Alkjaer, Tine [1 ]
Simonsen, Erik B. [1 ]
机构
[1] Univ Copenhagen, Dept Neurosci & Pharmacol, DK-2200 Copenhagen N, Denmark
[2] Danish Inst Fire & Secur Technol, DK-2650 Hvidovre, Denmark
[3] Aalborg Univ, Dept Architecture Design & Media Technol, DK-9200 Aalborg, Denmark
[4] Tech Univ Denmark, Dept Informat & Math Modelling, DK-2800 Lyngby, Denmark
关键词
Markerless; Motion capture; Tracking; Gait analysis; Biomechanics; 3D reconstruction; Dense point cloud; Stereo vision; Photogrammetry; Iterative closest point; Articulated model; SOFT-TISSUE ARTIFACT; KNEE; TRACKING; BIOMECHANICS;
D O I
10.1016/j.medengphy.2014.07.007
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Estimating 3D joint rotations in the lower extremities accurately and reliably remains unresolved in markerless motion capture, despite extensive studies in the past decades. The main problems have been ascribed to the limited accuracy of the 3D reconstructions. Accordingly, the purpose of the present study was to develop a new approach based on highly detailed 3D reconstructions in combination with a translational and rotational unconstrained articulated model. The highly detailed 3D reconstructions were synthesized from an eight camera setup using a stereo vision approach. The subject specific articulated model was generated with three rotational and three translational degrees of freedom for each limb segment and without any constraints to the range of motion. This approach was tested on 3D gait analysis and compared to a marker based method. The experiment included ten healthy subjects in whom hip, knee and ankle joint were analysed. Flexion/extension angles as well as hip abduction/adduction closely resembled those obtained from the marker based system. However, the internal/external rotations, knee abduction/adduction and ankle inversion/eversion were less reliable. (C) 2014 IPEM. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1168 / 1175
页数:8
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