• DocumentCode
    2922875
  • Title

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

  • Author

    Matsushita, S. ; Fujie, M.G.

  • Author_Institution
    Grad. Sch. of Adv. Sci. & Eng., Waseda Univ., Tokyo, Japan
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    437
  • Lastpage
    441
  • 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.
  • Keywords
    biomechanics; medical robotics; medical signal processing; patient care; assistive robots; care support devices; human body features; knee joint moment; physical ability; physical burdens; self-transfer support equipment; standing; user ability; weight; Force; Hip; Joints; Knee; Legged locomotion; Medical services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Robotics and Biomechatronics (BioRob), 2010 3rd IEEE RAS and EMBS International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2155-1774
  • Print_ISBN
    978-1-4244-7708-1
  • Type

    conf

  • DOI
    10.1109/BIOROB.2010.5626334
  • Filename
    5626334