Project Info
*Biomechanical Assessment of Gesture-Controlled Robotic Balance Training
Anne Silverman
asilverm@mines.edu
Robotic rehabilitation technologies have the potential to reimagine standard physical therapy by making repetitive exercises more engaging and effective. Evaluating balance strategies during gesture-controlled robotic balance training from a biomechanical perspective provides quantitative evidence to improve rehabilitation and maximize motor learning.
More Information:
Grand Challenge: Reverse-engineer the brain
Research study: A gesture-controlled rehabilitation robot to improve engagement & quantify movement performance https://www.mdpi.com/1424-8220/20/15/4269
Functional Biomechanics Laboratory website: https://fbl.mines.edu
Primary Contacts:
Dr. Anne Silverman
Student Preparation
Qualifications
Programming
Data visualization
CITI Biomedical Research Training (citiprogram.org, affiliate with Mines and complete course modules)
TIME COMMITMENT (HRS/WK)
5
SKILLS/TECHNIQUES GAINED
Exposure to biomechanical data collection on human subjects including motion capture, force sensing, electromyography
Biomechanical data processing and interpretation of research findings
Presentation of research results
MENTORING PLAN
Regular meetings to review data and research findings, laboratory training, deliverables related to relevant outcome metrics and preparing results for presentation
PREFERRED STUDENT STATUS
Sophomore
Junior
Senior