Analysis of touching motion using singular spectrum transformation

Eri Fujii; Seiichiro Katsura

doi:10.1109/ICMECH.2015.7084021

Analysis of touching motion using singular spectrum transformation

Eri Fujii, Seiichiro Katsura

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	464-469
Number of pages	6
ISBN (Electronic)	9781479936335
DOIs	https://doi.org/10.1109/ICMECH.2015.7084021
Publication status	Published - 2015 Apr 9
Event	2015 IEEE International Conference on Mechatronics, ICM 2015 - Nagoya, Japan Duration: 2015 Mar 6 → 2015 Mar 8

Publication series

Name	Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015

Other

Other	2015 IEEE International Conference on Mechatronics, ICM 2015
Country/Territory	Japan
City	Nagoya
Period	15/3/6 → 15/3/8

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering

Access to Document

10.1109/ICMECH.2015.7084021

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). Article 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

Analysis of touching motion using singular spectrum transformation. / Fujii, Eri; Katsura, Seiichiro.
Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 464-469 7084021 (Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fujii, E & Katsura, S 2015, Analysis of touching motion using singular spectrum transformation. in Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015., 7084021, Proceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015, Institute of Electrical and Electronics Engineers Inc., pp. 464-469, 2015 IEEE International Conference on Mechatronics, ICM 2015, Nagoya, Japan, 15/3/6. https://doi.org/10.1109/ICMECH.2015.7084021

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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.",

author = "Eri Fujii and Seiichiro Katsura",

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AB - 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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Analysis of touching motion using singular spectrum transformation

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