Human skill analysis based on multisensory data

D. Sato, S. Yamada, Masaru Uchiyama

    Research output: Contribution to conferencePaperpeer-review

    8 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 Dec 1
    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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