Monitoring en temps réel de la vitesse de déplacement sur dispositif connecté : modélisation mathématique sur plateforme mobile interfacée avec une base de données d'entraînement et d'audit physiologique

Abstract : The improvement running performance has become a major topic lately. We are getting closer to running a marathon in under 2 hours. However, there are not so many professionals working transversally regarding pre-race and in-race preparation concerning the general public. Training plans are based on trainers' experience and are often not custom-made. This exposes the runners to injury risk and motivation loss. It seems that the current analysis of training plans has reached a limit. The aim for BillaTraining® is to go beyond this limit by connecting the research with the general public of runners.This PhD has two main goals. The first one is trying to contribute to the research about running. After gathering and formatting trainings and races data from different origins, we tried to isolate and describe how humans run marathons including 2.5 to 4-hour performances. We studied acceleration, speed and heart rate time series among other things, with the idea of understanding the different running strategies.The second one is the development of a web application embracing the three steps of the BillaTraining® method. The first step is an energetic audit which is a 30-minute running session guided by the runner's sensations. The second step is the energetic radar which is the results of the audit. The last step is a tailor-made training plan built depending on the runner's objectives.In order to come up with a solution, we had to bring together Physiology, Mathematics and Computer Science.The knowledge we had in Physiology was based on professor Véronique Billat's past and current researches. These researches are now part of BillaTraining® and are central for the growth of the company.We used Mathematics to try to describe physiological phenomenons thanks to Statistics. By applying the Ornstein-Uhlenbeck model, we found that humans are able to run at an even acceleration. By using the PELT (Pruned Exact Linear Time) method we automated changepoints detection in time series.Finally, Computer Science allowed a communication between Physiology and Mathematics for research, as well as marketing training tools at the forefront of innovation.
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Thomas Carbillet. Monitoring en temps réel de la vitesse de déplacement sur dispositif connecté : modélisation mathématique sur plateforme mobile interfacée avec une base de données d'entraînement et d'audit physiologique. Traitement du signal et de l'image [eess.SP]. Université Grenoble Alpes, 2019. Français. ⟨NNT : 2019GREAM013⟩. ⟨tel-02269138⟩

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