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 ....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.Read moreRead less
Effectiveness of Intervention Strategies to Promote Physical Activity Among Insufficiently Active Adults. This project will determine the cost-effectiveness of 2 types of physical activity (PA) interventions based around the workplace. 480 participants will be randomly assigned to PA intervention groups or controls. Interventions are either a (1) self-regulated, pedometer-based program or a (2) semi-structured, 40-day initiation to more moderately-vigorous PA. Both are designed to increase self- ....Effectiveness of Intervention Strategies to Promote Physical Activity Among Insufficiently Active Adults. This project will determine the cost-effectiveness of 2 types of physical activity (PA) interventions based around the workplace. 480 participants will be randomly assigned to PA intervention groups or controls. Interventions are either a (1) self-regulated, pedometer-based program or a (2) semi-structured, 40-day initiation to more moderately-vigorous PA. Both are designed to increase self-efficacy and impact on positive PA behaviours. Long-term, behavioural change and job-related outcomes will be evaluated by following participants for 12 months after the interventions.Read moreRead less