Modeling of human hand link structure from optical motion capture data
Modeling of human hand link structure from optical motion capture data
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根据光学运动捕捉数据对人手链接结构进行建模
DOI：
10.1109/iros.2004.1389724
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
M. Mochimaru
中科院分区：
文献类型：
--
作者：
N. Miyata;M. Kouchi;T. Kurihara;M. Mochimaru
本文提出了利用光学运动捕捉数据确定手部连杆结构的总体协议。捕捉手部运动的困难来自于手在非常小的空间中的相对较高的自由度。为了解决标记之间的贴近性问题，减少了标记的数量。通过简化问题来补偿减少标记的影响。通过适当调整校准运动，避免了皮肤运动的不利影响和有限的运动范围。通过链路估计实验，验证了该方法的有效性。
This paper proposes the total protocol to determine the link structure of a human hand using optical motion capture data. The difficulty in capturing hand motion comes from the hand's relatively high degrees of freedom located in very small space. To deal with the problem caused by closeness between markers, the number of markers is reduced. The effect of reduced markers is compensated by simplifying the problem. The adverse effect of skin movement and the limited range of movement is avoided by regulating the calibration motion appropriately. A link estimation experiment is performed to show the effectiveness of the proposed method.