September 25, 2024
AI serving athletes: innovative INS Québec projects supported by IVADO
IVADO and the Institut National du Sport du Québec (INS Québec), in partnership with Polytechnique Montréal and HEC Montréal, are leading a series of innovative projects aimed at integrating artificial intelligence (AI) into athlete training. This strategic and interdisciplinary collaboration provides personalized and complementary support to high-level athletes.
In elite sports, data plays an increasingly crucial role. Medical, biomechanical, physiological, and psychological information, when combined with artificial intelligence (AI), provides athletes with significant advantages. In addition to performance and medals, a vast amount of data refines training strategies and optimizes competition performance, opening new horizons for sporting excellence.
To extract value from all this data, INS Québec engages in a rigorous process of cleaning, verifying, and validating, applying predictive mathematical models. This approach delivers personalized support that perfectly complements the work of coaches, offering athletes a scientific method to optimize their performance.
For INS, sporting success goes far beyond records and medals. It is about enriching the overall experience of athletes by fostering a balance between performance, happiness, and health. Through AI, INS Québec analyzes a wide range of data from various domains to establish leadership in sustainable performance and ensure athletes have long and prosperous careers in terms of health.
Flagship Projects: Boccia and Water Polo
Among the ongoing projects, INS Québec is collaborating with Polytechnique Montréal to reinvent boccia, a sport where precision is essential. By integrating artificial intelligence, real-time game strategies are developed, allowing athletes to make more informed and responsive decisions during competitions.
In parallel, with HEC Montréal, INS Québec is focusing on developing predictive models for water polo, a demanding sport where energy management is crucial. These models are designed to monitor and manage physical exhaustion and its effects on game strategies.
These initiatives showcase how INS Québec combines AI, health, and athlete well-being to push the boundaries of sport and pave the way for new possibilities in continuous performance improvement.
Ongoing projects
In addition to these achievements, three promising projects are in the works: creating a user interface for boxing in collaboration with Tech3Lab from HEC Montréal, a project with the Université de Montréal aimed at calculating effort indices and training loads for cycling, and an initiative with the École de technologie supérieure (ÉTS) on alpine and downhill skiing, using GPS data to analyze trajectories and loads.
Supported by IVADO, these projects perfectly illustrate how AI not only transforms athletic performance but also commits to enhancing the quality of life for athletes, since true success is also measured by well-being and health.
