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