Motion modeling and search method based on hidden Markov model for motion database

Y. Ohnishi, S. Katsura
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引用次数: 5

Abstract

In order to address the problem such as aging of workers and craftsmen, ‘motion database’ is considered to be important. Conventionally, motion capture or acceleration sensor is generally used for motion modeling. However, these methods can not get force information, which is important factor for motion modeling. In this research, motion search method based on hidden Markov model is proposed in order to make the ‘motion database’ practical. In the motion modeling, force information is obtained using motion copying system. Because the force information is include in the model, more developed motion database is expected. In addition, motion search becomes possible by using hidden Markov model. The validity of proposed method is confirmed by experiment.
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基于隐马尔可夫模型的运动数据库运动建模与搜索方法
为了解决工人和工匠的老龄化等问题,“运动数据库”被认为是重要的。传统上,运动捕捉或加速度传感器通常用于运动建模。然而,这些方法无法获得运动建模的重要因素——力信息。为了实现“运动数据库”,本文提出了一种基于隐马尔可夫模型的运动搜索方法。在运动建模中,利用运动复制系统获取受力信息。由于模型中包含了力的信息,因此期望更完善的运动数据库。此外,利用隐马尔可夫模型实现运动搜索。通过实验验证了该方法的有效性。
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