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Enhancing Fall Risk Assessment Precision and Patient Outcomes with Sensitive Markerless Motion Capture Technology in Clinical Setting
This project will study a new way to measure the risk of falls for elderly people in hospitals and clinics. The technology is called Markerless Motion Capture, which uses a camera to track how patients move without any markers or sensors on their body. The study will see if this technology can help identify patients who are more likely to fall and prevent future injuries. The research will help health care providers better assess the risk of falls and improve patient care.
Faculty Supervisor:
Martin Ferguson-Pell
Student:
Partner:
The Leading Edge Physiotherapy Clinic
Discipline:
Life Sciences
Sector:
Health and Related Sciences & Technology
University:
University of Alberta
Program:
Accelerate
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