We present a personalized approach for frequent fitness monitoring in road cycling solely
relying on sensor data collected during bike rides and without the need for maximal effort …

The importance of young athletes in the field of professional cycling has sky-rocketed during
the past years. Nevertheless, the early talent identification of these riders largely remains a …

The advances of sensing and computing technologies pave the way to develop novel
applications and services for wearable devices. For example, wearable devices measure …

We investigate the relationships between age and race performance in women's road
cycling. Therefore, we consider public data from ProCyclingStats (PCS) on race results of …

Predicting cycling race results has always been a task left to experts with a lot of domain
knowledge. This is largely due to the fact that the outcomes of cycling races can be rather …

Current cycling analytics solutions do not account for the race course profile or the level of
the competition. Therefore, this paper develops a unique two-stage clustering-based ranking …

In the past few years, the application of machine learning techniques in the field of sports
science has gained considerable attention. The ability to analyse vast amounts of data and …

Cycling power measurement is an indispensable metric with profound implications for
cyclists' performance and fitness levels. It empowers riders with realtime feedback, supports …

Nowadays, the decision on the training plans that lead to the best performance in the
competitions are mostly based on the expert knowledge of the team coach. Recent …

Current cycling analytics solutions do not account for either the raced course profile or the
level of the competition. Therefore, this paper suggests a two-stage approach which initially …