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.
Dr. Benjamin Jung
Sports and recreation
University of Victoria
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