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基于模型的方法,用于从无标记和基于标记的运动分析系统重建人体运动学。

Model-based approach for human kinematics reconstruction from markerless and marker-based motion analysis systems.

机构信息

Laboratory of Anatomy, Biomechanics and Organogenesis (LABO), Faculty of Medicine Université Libre de Bruxelles (ULB), Belgium; Department of Applied Mathematics, Polytechnical University, Saint Petersburg, Russia.

出版信息

J Biomech. 2013 Sep 27;46(14):2363-71. doi: 10.1016/j.jbiomech.2013.07.037. Epub 2013 Aug 8.

DOI:10.1016/j.jbiomech.2013.07.037
PMID:23972432
Abstract

Modeling tools related to the musculoskeletal system have been previously developed. However, the integration of the real underlying functional joint behavior is lacking and therefore available kinematic models do not reasonably replicate individual human motion. In order to improve our understanding of the relationships between muscle behavior, i.e. excursion and motion data, modeling tools must guarantee that the model of joint kinematics is correctly validated to ensure meaningful muscle behavior interpretation. This paper presents a model-based method that allows fusing accurate joint kinematic information with motion analysis data collected using either marker-based stereophotogrammetry (MBS) (i.e. bone displacement collected from reflective markers fixed on the subject's skin) or markerless single-camera (MLS) hardware. This paper describes a model-based approach (MBA) for human motion data reconstruction by a scalable registration method for combining joint physiological kinematics with limb segment poses. The presented results and kinematics analysis show that model-based MBS and MLS methods lead to physiologically-acceptable human kinematics. The proposed method is therefore available for further exploitation of the underlying model that can then be used for further modeling, the quality of which will depend on the underlying kinematic model.

摘要

先前已经开发出了与肌肉骨骼系统相关的建模工具。然而,真实的基本功能关节行为的整合却有所欠缺,因此现有的运动学模型并不能合理地复制个体的人体运动。为了提高我们对肌肉行为(即位移和运动数据)之间关系的理解,建模工具必须确保关节运动学的模型得到正确验证,以确保对肌肉行为进行有意义的解释。本文提出了一种基于模型的方法,允许将准确的关节运动信息与使用基于标记的体视摄影术(MBS)(即从固定在受试者皮肤上的反射标记收集的骨骼位移)或无标记单摄像头(MLS)硬件收集的运动分析数据融合。本文描述了一种基于模型的方法(MBA),用于通过可扩展的注册方法来重建人体运动数据,该方法将关节生理运动学与肢体段姿势相结合。所呈现的结果和运动学分析表明,基于模型的 MBS 和 MLS 方法可产生符合生理学的人体运动学。因此,该方法可用于进一步开发基础模型,然后可将其用于进一步建模,建模的质量将取决于基础运动学模型。

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