Derivation of Centers and axes of rotation for wrist and fingers in a hand kinematic model: Methods and reliability results

Derivation of Centers and axes of rotation for wrist and fingers in a hand kinematic model: Methods and reliability results
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DOI:
10.1007/s10439-005-1743-9
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发表时间:
2005-03-01
影响因子:
3.8
通讯作者:
Ferrigno, G
Ferrigno, G
中科院分区:
工程技术2区
文献类型:
--
作者:
Cerveri, P;Lopomo, N;Ferrigno, G

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在从视频中重建人体运动的3D领域中,已经提出了基于模型的技术来提高估计精度和自动化程度。这种方法的可行性与所采用的生物力学模型密切相关。特别是,运动链的表示和相应参数的评估对于运动评估的成功起着相关的作用。在本文中,重点是确定的运动学参数的一般手骨骼模型,利用表面测量。提出了一种结合非刚性球拟合和进化优化的骨骼关节旋转中心和功能轴估计方法。使用真实的运动数据和具有已知地面真实3D测量噪声和不同运动范围(RoM)的模拟运动来测试该技术的可靠性。相对于标准的非刚性球拟合技术,所提出的方法执行10-50%更好的最佳条件下(非常低的噪声和宽RoM)和超过100%更好的生理伪影和RoM。重复性在几毫米的范围内,旋转中心的本地化,并在一个度的范围内,轴方向上获得从真实的数据实验。
In the field of 3D reconstruction of human motion from video, model-based techniques have been proposed to increase the estimation accuracy and the degree of automation. The feasibility of this approach is strictly connected with the adopted biomechanical model. Particularly, the representation of the kinematic chain and the assessment of the corresponding parameters play a relevant role for the success of the motion assessment. In this paper, the focus is on the determination of the kinematic parameters of a general hand skeleton model using surface measurements. A novel method that integrates nonrigid sphere fitting and evolutionary optimization is proposed to estimate the centers and the functional axes of rotation of the skeletal joints. The reliability of the technique is tested using real movement data and simulated motions with known ground truth 3D measurement noise and different ranges of motion (RoM). With respect to standard nonrigid sphere fitting techniques, the proposed method performs 10-50% better in the best condition (very low noise and wide RoM) and over 100% better with physiological artifacts and RoM. Repeatability in the range of a couple of millimeters, on the localization of the centers of rotation, and in the range of one degree, on the axis directions is obtained from real data experiments.