Assessment of Markerless Motion Capture for Pediatric Populations with Difficulty Walking

A new artificial intelligence based markerless motion capture technology could improve care children with difficulty walking. Marker-based gait assessments are often used to help make decisions about treatments. We will explore if this new markerless approach works in kids and specifically if it works in kids with difficulty walking. We will determine if this approach gives similar results to the existing marker-based approach that requires more time, specific clothing and cooperation from children. We will also find out how much faster it is and if children like it more. Lastly, we will determine if we can do markerless assessments for kids who we cannot do marker-based assessments. This has the potential to make care more patient and family-centered and to increase the population of children with neuromotor impairments who can have a 3D gait assessment to guide their treatment.

Faculty Supervisor:

Elizabeth Condliffe

Student:

Partner:

Alberta Health Services (Calgary)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program: