An algorithm for predicting sporting performance

Emeric Baldisser. ©Agglo/V.Biard

Emeric Baldisser is launching “Forecast”, an application programming interface created by a technology transfer from the National Centre for Space Studies (CNES). Forecast is a service for predicting sporting performance, and designed to complement existing applications.  


“The CNES has developed a patented system for monitoring and predicting physical performances in real time, linking geographical, physiological and environmental data, named Physiotrack. We obtained the business license for the Fitness and Performance commercial sectors following my participation in the Act in Spacecompetition in 2014,” recounts Emeric Baldisser, an ESTIA engineering graduate and Doctor of Information Technology.


After a year of research and development, Emeric Baldisser integrated the Physiotrack algorithm into an application programming interface (API) with the aim of offering the final result to the general public. “There are around 15,000 sports applications in the world with 350 million users. Our goal is to offer a range of services for foot racing, hiking and cycling to the pre-existing sports applications on the market,” he specifies.


Forecast is a service that provides information such as physical shape estimations, tailored itinerary suggestions or even heart rate predictions or energy requirements (water, calories). Emeric Baldisser is currently installing this API on two sports applications, ranging from 50 to 100 thousand users, that will be improved with new features. It is through his company, ENDO SPORT, located at the Izarbel Technology Park, that he is undertaking the development of this app service.


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