Supervisors
Programme(s)
Physical Activity Epidemiology
Summary
This project will explore new ontologies for classifying human movement and postures based on multiple accelerometers worn during free-living, with a view to generating locally relevant validity information that can easily be deployed in any country in the world to facilitate interpretation of emerging global surveillance of objectively measured physical activity. Previous experience in time-series analysis and multi-channel signal processing is an advantage but not an absolute requirement.