• DocumentCode
    716821
  • Title

    Design of a cable-driven active leg exoskeleton (C-ALEX) and gait training experiments with human subjects

  • Author

    Xin Jin ; Xiang Cui ; Agrawal, Sunil K.

  • Author_Institution
    Dept. of Mech. Eng., Columbia Univ., New York, NY, USA
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    5578
  • Lastpage
    5583
  • Abstract
    Robotic rehabilitation devices are attractive to physical therapists. Various leg exoskeletons have been developed during the past decade and have been used in gait training. Traditional exoskeletons usually have a complex structure and add extra inertia to the wearer´s leg, which may change their natural gait. In this paper, we present the design of a cable-driven active leg exoskeleton (C-ALEX) for human gait training. The advantages of cable-driven designs are that they have a simpler structure, add minimal inertia to the human limbs, and do not require precise joint alignment. C-ALEX employs the “assist-as-needed” control strategy to help the ankle center move along a prescribed path. An experiment with 6 healthy subjects was conducted who walked with C-ALEX on a treadmill. The results showed that C-ALEX is capable of helping the subjects better track a prescribed ankle path.
  • Keywords
    gait analysis; medical robotics; motion control; path planning; patient rehabilitation; C-ALEX; ankle center movement; ankle path tracking; assist-as-needed control strategy; cable-driven active leg exoskeleton design; cable-driven design; gait training experiment; healthy subjects; human limb; human subjects; joint alignment; physical therapy; robotic rehabilitation devices; treadmill; wearer leg; wearer natural gait; Exoskeletons; Force; Joints; Mathematical model; Thigh; Torque; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139979
  • Filename
    7139979