Performance Modelling of Professional Cyclists Using Self-organizing Maps

This project aims at performance modelling of athletes and involves the collection of detailed data that affects rider performance in professional cycling. This data is utilized for assessment of training and performance and for supporting individual training schedules through modelling and profiling of individual athletes. The methodology is based on pattern discovery and recognition using Self Organizing Maps, an exploratory data analysis model of demonstrated success in automated monitoring tasks involving multiple parameters. The models and profiles could help identify relationships between testing (in the lab and field) and could be employed in devising optimum training strategies for individual athletes.

Faculty Supervisor:

Dr. Benjamin Jung

Student:

Stefan Pantazi

Partner:

Pacific Sport

Discipline:

Computer science

Sector:

Sports and recreation

University:

University of Victoria