Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove

IEEE Trans Neural Syst Rehabil Eng. 2016 Dec;24(12):1323-1332. doi: 10.1109/TNSRE.2015.2501748. Epub 2015 Nov 19.

Abstract

This paper presents a hand rehabilitation learning system, the SAFE Glove, a device that can be utilized to enhance the rehabilitation of subjects with disabilities. This system is able to learn fingertip motion and force for grasping different objects and then record and analyze the common movements of hand function including grip and release patterns. The glove is then able to reproduce these movement patterns in playback fashion to assist a weakened hand to accomplish these movements, or to modulate the assistive level based on the user's or therapist's intent for the purpose of hand rehabilitation therapy. Preliminary data have been collected from healthy hands. To demonstrate the glove's ability to manipulate the hand, the glove has been fitted on a wooden hand and the grasping of various objects was performed. To further prove that hands can be safely driven by this haptic mechanism, force sensor readings placed between each finger and the mechanism are plotted. These experimental results demonstrate the potential of the proposed system in rehabilitation therapy.

MeSH terms

  • Disabled Persons / rehabilitation*
  • Equipment Design
  • Equipment Failure Analysis
  • Exoskeleton Device*
  • Hand*
  • Humans
  • Machine Learning*
  • Reproducibility of Results
  • Robotics / instrumentation*
  • Sensitivity and Specificity
  • Software
  • Therapy, Computer-Assisted / instrumentation*
  • Therapy, Computer-Assisted / standards
  • User-Computer Interface