用奇异谱变换分析触摸运动

E. Fujii, S. Katsura
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引用次数: 0

摘要

最近,机器人的需求一直在增加,因为老年人护理问题,危险的工作涉及生活,消失的技术工作等。要像人类一样使用机器人,就需要获取人类的运动信息。为了有效地利用运动信息,还需要对运动信息进行分析。本文采用运动复制系统提取运动信息。运动复制系统适用于获得的触摸运动。为了分析运动信息,引入了奇异频谱变换(SST)。海温是分析时间序列数据的适应性最强的数据挖掘技术之一。运动信息在时间序列数据中具有各种参数。该挖掘系统有可能用于运动分割和分类。根据实验和分析,可以对触摸运动进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of touching motion using singular spectrum transformation
Recently, robots have been increasing demand for elderly care problem, dangerous work involved in life, disappearing skilled work and so on. To use robots like human, human motion information is needed to obtain. The motion information is also needed to analyze in order to use effectively information. In this paper, motion information is extracted by motion-copying system. Motion-copying system is suitable for obtained touching motion. To analyze motion information, Singular Spectrum Transformation (SST) is introduced. SST is one of the most adaptive data mining techniques to analyze time-series data. Motion information has various parameters in time-series data. This mining system has probability to use for motion segmentation and classification. According to the experiments and the analysis, touching motion can be analyzed.
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