Algorithm for selecting appropriate self-transfer equipment based on the physical ability of the user

S. Matsushita*, M. G. Fujie

*Corresponding author for this work

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

    Abstract

    In the present paper, we propose an algorithm for selecting appropriate self-transfer support equipment based on the physical ability of the user ability. In addition, we describe the relationship between features of the human body and the physical burdens during standing. Although several care support devices have been developed, assistive robots are not yet popular because users do not know which devices are suitable for their needs or appropriate for their physical abilities. In the present study, we focus on a transfer support device and propose an algorithm for selecting self-transfer support equipment that will be suitable for physical ability of the user. We investigated the relationship between human body features and physical burdens during standing, which is one of transfer motions. In an experiment, we calculated and analyzed the knee joint moment and discussed the relationship between human body features and the knee joint moment during standing. The results indicate the existence of a proportional relationship between weight and maximum knee joint moment when an individual stands up from sitting in a chair.

    Original languageEnglish
    Title of host publication2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
    Pages437-441
    Number of pages5
    DOIs
    Publication statusPublished - 2010
    Event2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010 - Tokyo
    Duration: 2010 Sept 262010 Sept 29

    Other

    Other2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2010
    CityTokyo
    Period10/9/2610/9/29

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Biomedical Engineering

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