This interdisciplinary project explores novel machine learning approaches to modelling physical activity 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 aims to transform the understanding of young children’s physical activity behaviour, and is expected to 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.

Funding body

Australian Research Council

Scheme name

Discovery Projects

Years funded

2015 – 2018

Lead institution

University of Wollongong

Partner institutions

University of Queensland