Position based free-motion data connecting by using minimum force-differential model

Koei Igarashi, S. Katsura
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引用次数: 3

Abstract

Motion-copying system (MCS) enables to preserve and reproduce the human motion faithfully, and various studies about MCS have been accomplished. Thereby, the concept of the motion database is created, and it is considered that preservation and reproduction of the motion data will spread in the various field including the industry, art and medical care. Then, The demand for processing the saved motion data as further utilization is expected. To connect motion data, there is the method which connects the motion data using the third spline function. However, this method isn't suitable for cooperative task of human and robots such as rehabilitation system because the human motion properties are ignored. In this study, the motion data that are saved individually are connected by using minimum-force differential model which contains minimum-jerk model known as a human motion model. Validity is confirmed by the experiments.
利用最小力差模型连接基于位置的自由运动数据
运动复制系统(MCS)能够忠实地保存和再现人体运动,对MCS的各种研究已经完成。由此产生了运动数据库的概念,并认为运动数据的保存和复制将在包括工业、艺术和医疗在内的各个领域中传播。然后,展望了对保存的运动数据进行进一步利用的需求。为了连接运动数据,有一种使用第三样条函数连接运动数据的方法。然而,由于忽略了人的运动特性,该方法不适用于康复系统等人与机器人的协同任务。在本研究中,使用最小力差分模型将单独保存的运动数据连接起来,该模型包含最小震动模型,称为人体运动模型。实验结果证实了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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