NGGP Projects – hosted by La Trobe University

Predicting performance in Olympic Racing Sports

Themes: AI for holistic athlete performance and wellbeing/Personalised performance and team performance

Student: Tara Lind

Host University: La Trobe University

Sports research objectives/questions:

  • Identify relevant data categories for comprehensive performance prediction. What are the key data categories that significantly influence training and competition performance in racing sports?
  • Determine the optimal data requirements for accurate performance prediction: What is the minimum amount of data required in each identified category to achieve accurate prediction of training and competition performance?