How to analyze sports performance?

How to analyze sports performance?

In total, 12 projects were funded under the priority research program “High-Performance Sport”, scientifically managed by the National Center for Scientific Research and managed by the National Agency for Research (ANR).

Science and life It highlights two of them, through data visualizations. These representations, intuitively, represent a large number of measurements captured during experiments.

“Swimmer's Mirage”: Data visualization from Project Neptune data designed by Marthe Vialette, Jeremy Wanner, and Adrian Mark. – Remy Carmignani / Design: DATACI-TRON (Julie Brunet)

Victory is largely decided in the first 15 meters of the race, when the swimmer slides and undulates under the water before rising to the surface. Challenge: Utilize the speed gained during the dive for as long as possible. Thanks to image analysis combined with artificial intelligence, researchers from the NePTUNE project (supported by the University of Rouen and the French Federation of Swimming and Para-Sports) study the trajectory of the swimmers' center of mass and determine which one would be optimal to save time. !

“THE ROSE DES GANTS”: Data visualization of data from the Personality Analytics project designed by Marthe Vialette, Jeremy Wanner, and Adrian Mark. -Jeremy Wanner and Alexander Shorten

Until now, coaches have used video as a tool to monitor athletes' performance. Thanks to the PerfAnalytics project (supported by the Insep, Inria and French Federations of Boxing, Climbing, Wrestling, Gymnastics and Cycling) and the processing of biomechanical and statistical data from images, videos can now translate the efforts made by athletes. The graphic below represents in a poetic way the measurements collected during a boxing match. Each pair of roses is a battle between two opponents: the spikes of the flowers symbolize the distances traveled, and the thorns symbolize the repetition of blows.

“THE ROSE DES GANTS”: Data visualization of data from the Personality Analytics project designed by Marthe Vialette, Jeremy Wanner, and Adrian Mark. -Jeremy Wanner and Alexander Shorten

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