UNE Exercise and Sport Science: Athlete Running Direction Prediction from Inertial Sensor Data

Intersect’s Advanced Analytics and AI Platform (3AI) is pleased to announce a new collaboration with University of New England’s (UNE) Exercise and Sports Science academic, Dr Cloe Cummins, on a project to investigate the directional movement patterns undertaken in field sports.

The Exercise and Sports Science Discipline at UNE has a strong research track record in supporting the training, monitoring, and performance of team sport athletes.

Through combining the respective expertise of UNE and Intersect’s Advanced Analytics and AI Platform, Dr Cloe Cummins and the broader research team are,

“excited about the collaborative project potential which will support innovative analytical approaches being applied to exercise and sports science research”.

This project will involve data wrangling of large datasets, machine learning, and novel research outputs.

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Intersect Australia offers hands-on training tailored to researchers and higher-degree research (HDR) students, covering a wide range of research-relevant digital tools and technologies, such as Excel, Python, R, SPSS, NVivo, REDCap and Qualtrics. These courses are available at beginner, intermediate, and advanced levels.

All members can access these training sessions. For details on all Intersect training courses across all member universities, click here, and for UNE-specific courses, visit this page.