Discovery Projects - Grant ID: DP150100116

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP150100116

Funding Status
Closed

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Funded Activity Summary

Modelling active play in preschool children using machine learning. 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.

Funded Activity Details

Start Date: 01-06-2015

End Date: 31-12-2019

Funding Scheme: Discovery Projects

Funding Amount: $286,424.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Exercise Physiology | Health Promotion | Public Health and Health Services |

ANZSRC Socio-Economic Objective (SEO)

Diagnostic Methods | Expanding Knowledge in the Medical and Health Sciences

Other Keywords

Diagnostic Methods | Exercise Physiology | Expanding Knowledge in the Medical and Health Sciences | Health Promotion | Public Health and Health Services

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