Real-time performance predicting application for athletes training optimisation

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Technology abstract

Physiotrack is an innovative CNES patented technology able to monitor and predict in real-time physical performance in sports such as running and biking. The solution is expected to be used by coaches of professional fitness or sport clubs in order to plan and optimise physical preparation and detect first signs of overtraining.

- Private group -

- Benoit Rivollet -

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Technology Description

The technology Physiotrack associates real time physiological data and external environmental data (temperature, pressure, type of terrain) in order to predict the evolution of the physiological parameters and the performance of athletes, who can then adapt their training to their objective.

The input data of the algorithm is composed of:

  • Geographic information (GNSS)
  • Environmental data (temperature, pressure, wind)
  • Physiological data (heart rate, blood pressure, body temperature, VO2 max)

Several setup levels are offered (from basic to advanced). The system is able to learn from past data and can be adapted to several types of physical training. The potential applications are mainly in the amateur and professional sport sector (cycling, running). However, sectors such as civil safety (firemen, mountain rescue, etc.) could also benefit from this technology.

The French startup ENDO SPORT, located in Bidart, is currently investigating this technology to develop an application or web-based solution dedicated to other moves, such as weight lifting and crossfit.

Innovations & Advantages

The data can be gathered by low-cost, off-the-shelf available sensors. The system is modular, can be used with few sensors and can be adapted to several applications. The algorithm is able to indicate precise performance parameters, such as the optimal water quantity and calories to be ingested by an athlete during a running race.

Current and Potential Domains of Application

The potential applications are mainly in the amateur and professional sport sector (cycling, running). However, applications in healthcare or civil safety (firemen, mountain rescue, etc.) could also benefit from this technology.