Modeling and personal recognition of calligraphy task using haptic data

Yoshihiro Ohnishi, Seiichiro Katsura

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

5 Citations (Scopus)

Abstract

Recently, the aging of workers and craftsmen are becoming a great issue because of low birthrate and longevity. The advanced skills of craftsmen is a precious property. The 'motion database' that realizes recording, searching, and reproduction of human motions is considered to be effective in overcoming this problem. By saving information about advanced techniques in the motion database, these techniques can be reproduced anytime, anywhere. By copying the technique of motion database to robot, technical tradition and power assist are possible.

Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
Pages2613-2618
Number of pages6
DOIs
Publication statusPublished - 2012
Event38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada
Duration: 2012 Oct 252012 Oct 28

Other

Other38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012
CountryCanada
CityMontreal, QC
Period12/10/2512/10/28

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Ohnishi, Y., & Katsura, S. (2012). Modeling and personal recognition of calligraphy task using haptic data. In IECON Proceedings (Industrial Electronics Conference) (pp. 2613-2618). [6388840] https://doi.org/10.1109/IECON.2012.6388840