• DocumentCode
    2777774
  • Title

    Experimental study on human-machine interaction for dynamical balancing control based on a building block type device with parallel two-wheeled vehicles

  • Author

    Tsutsumi, Kazuyoshi ; Nakane, Kenta ; Miyaura, Yuuko

  • Author_Institution
    Dept. of Mech. & Syst. Eng., Ryukoku Univ., Otsu, Japan
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Body balance is crucial for people to smoothly conduct everyday life. This capability can be divided into two types: static and dynamical. The one-leg balance test with eyes closed is a common test method for the former. But a test for the latter remains undeveloped, and the establishment of the testing method, as well as the training one, is expected. Thus, in this research, we designed and built a building block type device with parallel two-wheeled vehicles, and evaluated human-machine interaction for dynamical balancing control through riding experiments with many subjects. In these experiments that employed the device with a lower level of automatic control, the subjects typically lost their balance immediately. Through trial and error, their ability improved. All eventually and successfully rode continuously after training that varied greatly among individuals. Analysis with an indicator shows that their tendencies can objectively be characterized. From experiments in which the angle between the directions of the rider´s feet and the device wheels was altered to 0, 45, or 90 degrees, we further clarified that similarity exists in their training processes, but the difficulty of riding the device decreased in the order of 0, 45, and 90 degrees. Based on our obtained results, we discuss whether the machine developed in this research has potential as a measurement and training device for human dynamical balancing capability, which will be an important theme in the neural engineering field.
  • Keywords
    human-robot interaction; mechanoception; mobile robots; spatial variables control; automatic control; body balance; building block type device; dynamical balancing control; human dynamical balancing; human-machine interaction; neural engineering field; one-leg balance test; parallel two-wheeled vehicles; Bars; Humans; Legged locomotion; Sensors; Training; Vehicles; Wheels; balance; healthcare; human-machine; sports; training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252802
  • Filename
    6252802