The University of Queensland

Modelling active play in preschool children using machine learning (ARC Discovery Project administered by the University of Wollongong) (2015)

Abstract:

This interdisciplinary project explores novel machine learning approaches to modelling physical activity monitor data in preschool children. The approach taken is considered the future of physical activity assessment and is expected to substantially enhance the measurement of physical activity and the evidence base that informs strategies to improve population health through physical activity promotion. The project will transform our understanding of young children¿s physical activity behaviour, and will have important implications for the design of accurate and effective technology-based physical activity monitoring and intervention applications that could be delivered through the e-health initiative in Australia.

Grant type:

University of Wollongong

Researchers:

• 

  Professor Stewart Trost

  Conjoint Professor in Allied Health
  

  Faculty of Health and Behavioural Sciences

Funded by:

University of Wollongong