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

Ko Igarashi, Seiichiro Katsura

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

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Mechatronics, ICM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages535-540
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
Country/TerritoryJapan
CityNagoya
Period15/3/615/3/8

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Position based free-motion data connecting by using minimum force-differential model'. Together they form a unique fingerprint.

Cite this