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This paper presents a novel system for effort control in team-sport training, where each component is associated with a particularized program. The system relies on a decision engine that analyzes training data and provides instructions to athletes, and on a sensing infrastructure which monitors athletes' biometrics and movements and gathers environmental data such as humidity or temperature. The...
In this paper, we comparatively analyze a set of decision making methodologies that have been successfully applied to improve athletes' training in real-time. The decision-making processes are based on the environmental data as well as on the athletes' biometrics in a scenario with runners in cross country circuits. Data acquisition is performed by means of a WSN which measures temperature and circuits...
Outdoor sport practitioners can improve greatly their results if they train at the right intensity. Nevertheless, in common training systems the athlete's performance is used for evaluation at the end of the exercises, and the sensed data is incomplete because only human biometrics are analyzed. These systems do not consider environmental conditions, which may have direct influence on athlete's performance...
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