Analysis of touching motion using singular spectrum transformation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages464-469
Number of pages6
ISBN (Electronic)9781479936335
DOIs
Publication statusPublished - 2015 Apr 9
Event2015 IEEE International Conference on Mechatronics, ICM 2015 - Nagoya, Japan
Duration: 2015 Mar 62015 Mar 8

Publication series

NameProceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015

Other

Other2015 IEEE International Conference on Mechatronics, ICM 2015
CountryJapan
CityNagoya
Period15/3/615/3/8

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • Cite this

    Fujii, E., & Katsura, S. (2015). Analysis of touching motion using singular spectrum transformation. In Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015 (pp. 464-469). [7084021] (Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMECH.2015.7084021