• DocumentCode
    3600912
  • Title

    Sensing and Force-Feedback Exoskeleton (SAFE) Robotic Glove

  • Author

    Ben-Tzvi, Pinhas ; Zhou Ma

  • Author_Institution
    Robot. & Mechatron. Lab., George Washington Univ., Washington, DC, USA
  • Volume
    23
  • Issue
    6
  • fYear
    2015
  • Firstpage
    992
  • Lastpage
    1002
  • Abstract
    This paper presents the design, implementation and experimental validation of a novel robotic haptic exoskeleton device to measure the user´s hand motion and assist hand motion while remaining portable and lightweight. The device consists of a five-finger mechanism actuated with miniature DC motors through antagonistically routed cables at each finger, which act as both active and passive force actuators. The SAFE Glove is a wireless and self-contained mechatronic system that mounts over the dorsum of a bare hand and provides haptic force feedback to each finger. The glove is adaptable to a wide variety of finger sizes without constraining the range of motion. This makes it possible to accurately and comfortably track the complex motion of the finger and thumb joints associated with common movements of hand functions, including grip and release patterns. The glove can be wirelessly linked to a computer for displaying and recording the hand status through 3D Graphical User Interface (GUI) in real-time. The experimental results demonstrate that the SAFE Glove is capable of reliably modeling hand kinematics, measuring finger motion and assisting hand grasping motion. Simulation and experimental results show the potential of the proposed system in rehabilitation therapy and virtual reality applications.
  • Keywords
    data gloves; force feedback; mechatronics; medical robotics; 3D Graphical User Interface; SAFE Robotic Glove; Sensing and Force-Feedback Exoskeleton; five finger mechanism; hand motion; haptic exoskeleton device; haptic force feedback; miniature DC motors; self contained mechatronic system; Force; Force measurement; Haptic interfaces; Joints; Sensors; Thumb; Data gloves; force measurement; grasping; haptic interfaces;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2014.2378171
  • Filename
    6975202