Mobile Visual Feedback for Gait Training

Abstract

The proposed project aims to expand on a promising line of research on gait retraining and optimization. We have previously developed and tested a system and method of providing real-time mobile visual feedback on gait quality, based on kinetic data that is collected by wearable sensors. A critical advantage of this approach is that users receive pertinent and timely information on their gait pattern and that they see the immediate results of any gait adaptations. Initial applications for this were in people with lower limb prostheses. However the potential of this technology extends to other and larger populations as well.

Principal Investigator
  • Goeran Fiedler, PhD

    Co-Principal Investigator
    School of Health and Rehabilitation Sciences

  • Krista Kutina, DPT, PhD candidate

    Co-Principal Investigator
    Rehabilitation Science and Technology

Select Collaborators
  • William Clark, PhD

    Team Member
    Mechanical Engineering and Materials Science

  • April Chambers, PhD

    Team Member
    Bioengineering

  • Jarad Prinkey

    Team Member
    Bioengineering

  • Jon Pearlman, PhD

    Team Member
    Rehabilitation Science and Technology