Motion analysis of interaction mode control using principal component analysis

Hiroki Nagashima, Seiichiro Katsura

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

Abstract

Recently, robot application has been widely used not only in industry but also human society. Hereafter, in order to extend the range of work and kinds of motion in human society, it is needed to think about what human is and what human motion is. In conventional method for analysis of human motion, visual-based approach has widely researched. However, force adjustment is important information for many kinds of task such as processing technology and surgical operation. In addition, in order to acquire the advanced motion for robots, feature amount of advanced motion is needed to analyze. First step of motion analysis based on position and force information, the condition which has theoretical value is conducted. This paper proposes motion analysis method for interaction mode control systems using principal component analysis(PCA). Using the proposal, the dominant component is directly estimated from the motion information. To confirm the effectiveness of the method, motion data abstracted by automated control is used. Validity of the proposal is confirmed by experiment of interaction mode control. Experimental results in this paper are compared with the theoretical value.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Mechatronics, ICM 2013
Pages540-545
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Mechatronics, ICM 2013 - Vicenza, Italy
Duration: 2013 Feb 272013 Mar 1

Other

Other2013 IEEE International Conference on Mechatronics, ICM 2013
CountryItaly
CityVicenza
Period13/2/2713/3/1

Fingerprint

Principal component analysis
Robot applications
Robots
Control systems
Processing
Industry
Experiments
Motion analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Nagashima, H., & Katsura, S. (2013). Motion analysis of interaction mode control using principal component analysis. In 2013 IEEE International Conference on Mechatronics, ICM 2013 (pp. 540-545). [6519100] https://doi.org/10.1109/ICMECH.2013.6519100

Motion analysis of interaction mode control using principal component analysis. / Nagashima, Hiroki; Katsura, Seiichiro.

2013 IEEE International Conference on Mechatronics, ICM 2013. 2013. p. 540-545 6519100.

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

Nagashima, H & Katsura, S 2013, Motion analysis of interaction mode control using principal component analysis. in 2013 IEEE International Conference on Mechatronics, ICM 2013., 6519100, pp. 540-545, 2013 IEEE International Conference on Mechatronics, ICM 2013, Vicenza, Italy, 13/2/27. https://doi.org/10.1109/ICMECH.2013.6519100
Nagashima H, Katsura S. Motion analysis of interaction mode control using principal component analysis. In 2013 IEEE International Conference on Mechatronics, ICM 2013. 2013. p. 540-545. 6519100 https://doi.org/10.1109/ICMECH.2013.6519100
Nagashima, Hiroki ; Katsura, Seiichiro. / Motion analysis of interaction mode control using principal component analysis. 2013 IEEE International Conference on Mechatronics, ICM 2013. 2013. pp. 540-545
@inproceedings{48c43cde642546c08104002cd527e581,
title = "Motion analysis of interaction mode control using principal component analysis",
abstract = "Recently, robot application has been widely used not only in industry but also human society. Hereafter, in order to extend the range of work and kinds of motion in human society, it is needed to think about what human is and what human motion is. In conventional method for analysis of human motion, visual-based approach has widely researched. However, force adjustment is important information for many kinds of task such as processing technology and surgical operation. In addition, in order to acquire the advanced motion for robots, feature amount of advanced motion is needed to analyze. First step of motion analysis based on position and force information, the condition which has theoretical value is conducted. This paper proposes motion analysis method for interaction mode control systems using principal component analysis(PCA). Using the proposal, the dominant component is directly estimated from the motion information. To confirm the effectiveness of the method, motion data abstracted by automated control is used. Validity of the proposal is confirmed by experiment of interaction mode control. Experimental results in this paper are compared with the theoretical value.",
author = "Hiroki Nagashima and Seiichiro Katsura",
year = "2013",
doi = "10.1109/ICMECH.2013.6519100",
language = "English",
isbn = "9781467313889",
pages = "540--545",
booktitle = "2013 IEEE International Conference on Mechatronics, ICM 2013",

}

TY - GEN

T1 - Motion analysis of interaction mode control using principal component analysis

AU - Nagashima, Hiroki

AU - Katsura, Seiichiro

PY - 2013

Y1 - 2013

N2 - Recently, robot application has been widely used not only in industry but also human society. Hereafter, in order to extend the range of work and kinds of motion in human society, it is needed to think about what human is and what human motion is. In conventional method for analysis of human motion, visual-based approach has widely researched. However, force adjustment is important information for many kinds of task such as processing technology and surgical operation. In addition, in order to acquire the advanced motion for robots, feature amount of advanced motion is needed to analyze. First step of motion analysis based on position and force information, the condition which has theoretical value is conducted. This paper proposes motion analysis method for interaction mode control systems using principal component analysis(PCA). Using the proposal, the dominant component is directly estimated from the motion information. To confirm the effectiveness of the method, motion data abstracted by automated control is used. Validity of the proposal is confirmed by experiment of interaction mode control. Experimental results in this paper are compared with the theoretical value.

AB - Recently, robot application has been widely used not only in industry but also human society. Hereafter, in order to extend the range of work and kinds of motion in human society, it is needed to think about what human is and what human motion is. In conventional method for analysis of human motion, visual-based approach has widely researched. However, force adjustment is important information for many kinds of task such as processing technology and surgical operation. In addition, in order to acquire the advanced motion for robots, feature amount of advanced motion is needed to analyze. First step of motion analysis based on position and force information, the condition which has theoretical value is conducted. This paper proposes motion analysis method for interaction mode control systems using principal component analysis(PCA). Using the proposal, the dominant component is directly estimated from the motion information. To confirm the effectiveness of the method, motion data abstracted by automated control is used. Validity of the proposal is confirmed by experiment of interaction mode control. Experimental results in this paper are compared with the theoretical value.

UR - http://www.scopus.com/inward/record.url?scp=84879389234&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879389234&partnerID=8YFLogxK

U2 - 10.1109/ICMECH.2013.6519100

DO - 10.1109/ICMECH.2013.6519100

M3 - Conference contribution

SN - 9781467313889

SP - 540

EP - 545

BT - 2013 IEEE International Conference on Mechatronics, ICM 2013

ER -