Optimal estimation of human body segments dynamics using realtime visual feedback
Optimal estimation of human body segments dynamics using realtime visual feedback
复制标题
使用实时视觉反馈对人体各部分动态进行最佳估计
DOI：
10.1109/iros.2009.5354711
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Yoshihiko Nakamura
中科院分区：
文献类型：
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作者：
G. Venture;K. Ayusawa;Yoshihiko Nakamura
在研究运动动力学时，人体各部分的质量参数是必不可少的。在骨科、生物力学和康复中，它们至关重要。不准确的值会在运动分析中产生错误，误导对结果的解释。到目前为止，还没有系统的方法来估计它们。相反，参数是从通用表格中缩放的，或者是用不适合住院治疗的方法估计的。基于我们以前的工作，我们提出了一个实时软件及其接口，允许估计全身段参数，并可视化的识别完成的进展。可视化被用作视觉反馈以优化激励，从而优化识别结果。该方法进行了实验测试，并得到的结果进行了讨论。
Mass parameters of the human body segments are mandatory when studying motion dynamics. In orthopedics, biomechanics and rehabilitation they are of crucial importance. Inaccuracies their value generate errors in the motion analysis, misleading the interpretation of results. No systematic method to estimate them has been proposed so far. Rather, parameters are scaled from generic tables or estimated with methods inappropriate for in-patient care. Based on our previous works, we propose a real-time software and its interface that allow to estimate the whole-body segment parameters, and to visualize the progresses of the completion of the identification. The visualization is used as a visual feedback to optimize the excitation and thus the identification results. The method is experimentally tested and obtained results are discussed.