Human skill analysis based on multisensory data

D. Sato, S. Yamada, M. Uchiyama

Research output: Contribution to conferencePaperpeer-review

9 Citations (Scopus)

Abstract

In this paper, we report our approach to determine the essential features of human physical skills and the possibility for transferring them to robots. We focus on two tasks: crank rotation and side matching. The human skills are experimentally analyzed by measuring the hand position and force in the execution of these tasks using a vision tracking system and six-axis force/torque sensors. In the experiments, we obtained data under various conditions, such as using a blinder or not. Relevant data analysis for characterizing the human skills is presented.

Original languageEnglish
Pages278-283
Number of pages6
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1997 6th IEEE International Workshop on Robot and Human Communication, RO-MAN'97 - Sendai, Jpn
Duration: 1997 Sep 291997 Oct 1

Other

OtherProceedings of the 1997 6th IEEE International Workshop on Robot and Human Communication, RO-MAN'97
CitySendai, Jpn
Period97/9/2997/10/1

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

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