• DocumentCode
    2508053
  • Title

    Algorithm of pattern generation for mimicking disabled person’s gait

  • Author

    Kondo, Hideki ; Morishima, Akitoshi ; Ogura, Yu. ; Momoki, Shimpei ; Shimizu, Juri ; Lim, Hun-ok ; Takanishi, Atsuo

  • Author_Institution
    Grad. Sch. of Adv. Sci. & Eng., Waseda Univ, Tokyo
  • fYear
    2008
  • fDate
    19-22 Oct. 2008
  • Firstpage
    724
  • Lastpage
    729
  • Abstract
    The goal of this study is to realize a biped humanoid robot as a human motion simulator; where a biped humanoid robot having an ability to mimic various human motions is used for testing welfare apparatuses. In this paper, a humanoid robot, WABIAN-2R, capable of not only human-like walking but also the emulation of disabled personspsila walking is proposed. It has two 6-DOF legs, two 1-DOF feet, a 2-DOF pelvis, a 2-DOF trunk, two 7-DOF arms with 3-DOF hands, and a 3-DOF neck. In addition, an algorithm for generating walking patterns for emulations of disabled personspsila gaits for each case of disabilities based on the ZMP criterion is described. Moreover, the emulation experiment of the hemiplegic gait of a subject was conducted to demonstrate the effectiveness of the pattern generation method and mechanism of WABIAN-2R as a human motion simulator.
  • Keywords
    biomimetics; gait analysis; humanoid robots; medical computing; medical robotics; mobile robots; pattern formation; WABIAN-2R; ZMP criterion; biomimetics; biped humanoid robot; disabled person walking; hemiplegic gait; human motion simulator; pattern generation algorithm; walking pattern; welfare apparatus testing; Biological system modeling; Biomechatronics; Emulation; Humanoid robots; Humans; Knee; Legged locomotion; Mechanical engineering; Testing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Robotics and Biomechatronics, 2008. BioRob 2008. 2nd IEEE RAS & EMBS International Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    978-1-4244-2882-3
  • Electronic_ISBN
    978-1-4244-2883-0
  • Type

    conf

  • DOI
    10.1109/BIOROB.2008.4762891
  • Filename
    4762891