• DocumentCode
    2037930
  • Title

    The analysis of lift up skill by human

  • Author

    Sakaida, Yuki ; Chugo, Daisuke ; Ikeura, Ryojun

  • Author_Institution
    Human-Interactive Robot Res., RIKEN, Nagoya, Japan
  • fYear
    2011
  • fDate
    13-18 Sept. 2011
  • Firstpage
    2494
  • Lastpage
    2499
  • Abstract
    In recent years, rapid aging in Japanese society advances and the care givers takes on large loads. Especially, transfer operation, such as a patient transfer from a bed to a wheelchair or back, is one of the most physically heavy tasks in nursing care. Therefore, there is strong demand for nursing assist system for them. We have developed the nursing-care assistant robot named RIBA that aimed to assist transferring a patient by lifting up. It is necessary to investigate how to transfer a human from a bed to a wheelchair or back. In this paper, we measure the lift up motion by human and analyze the skill of safety and efficient lift up in order to apply for base of the motion planning of RIBA. From analyzed results, a human can lift up the object only moving the arms small in front and rear. This means, it reduces the risk of dropping the object. Comparing with angle of the right and left arms, the angle of the head side arm is larger than the angle of the leg side arm. It recognized that the right and left arm take the different role when lifting up. Finally, we make the prototype lift up motion and implement to RIBA, and try to lift up the human.
  • Keywords
    biological organs; biomechanics; biomedical equipment; handicapped aids; medical computing; medical robotics; path planning; patient care; wheelchairs; head side arm; leg side arm; lift up motion; lift up skill analysis; motion planning; nursing care; nursing-care assistant robot; patient transfer; transfer operation; wheelchair; Elbow; Humans; Medical services; Motion measurement; Robots; Safety; Wheelchairs; Caregiver assistance; Lift-up motion; Nursing skill; RIVA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2011 Proceedings of
  • Conference_Location
    Tokyo
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0714-8
  • Type

    conf

  • Filename
    6060399