Post hoc analysis of sport performance with differential evolution

Advising athletes how to improve their performance after a race is a very important aspect of sport training. It can also be called a post hoc analysis, which often includes a deep analysis of an athlete’s performance, behavior and body characteristics after a race. These analyses help trainers to adapt their training plan according to the athlete’s performance on the one hand, and to modify the strategy or tactic of the racing on the other. Until recently, rare solutions of automatic analysis, using modern artificial intelligence tools, were proposed. In this paper, recent solutions are reviewed and a novel solution is proposed, which relies on heart rate data for post hoc analysis. Here, the main focus is on individual sports, where the performed time determines the quality of results (e.g., running, cycling and triathlon). The proposed solution was tested on two case studies of running athletes.