• DocumentCode
    3365979
  • Title

    Human walking capture and its inspiration to biped gait planning

  • Author

    Xia, Zeyang ; Guodong Chen ; Jia, Zhenzhong ; Xiong, Jing ; Chen, Ken

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    926
  • Lastpage
    930
  • Abstract
    Existing approaches to biped gait generation always need to assume appropriate parameter conditions of the walking patterns. To accomplish this, this paper aims to experimentally investigate the characteristics of the human walking, and reveal, to some extent, its balance strategies. The experimental study was carried out on a self-designed human walking testing platform, which captures the joint kinematics data and the ground reaction force data. Based on the testings results, a parametric human gait database of multi walking patterns was constructed. Analyses based on this database was given and discussed, part of which has been implemented in prototype design and gait planning of biped robots. Compared to similar studies based on complicated commercial testing systems, this study provides theoretical inspirations which are more pertinent and intuitionistic to gait planning for biped robots.
  • Keywords
    gait analysis; legged locomotion; robot kinematics; biped gait generation; biped robot gait planning; ground reaction force; human walking capture; human walking characteristics; joint kinematics; multi walking patterns; parametric human gait database; self-designed human walking testing platform; Artificial neural networks; Automatic testing; Biological system modeling; Databases; Humanoid robots; Humans; Kinematics; Legged locomotion; Service robots; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246343
  • Filename
    5246343