Sport Quantum, which developed a connected sport-shooting target, was spun off of a CEA-List lab specializing in sensory interfaces in 2017. The company’s mission is to bring the world’s third leading sports discipline by number of participants a high-added-value alternative to conventional paper targets.
Sport Quantum’s smart targets leverage the measurement of shock waves generated by the projectile to accurately locate impacts to within 100 microns. These interactive electronic targets allow sport shooters to analyze their results in real time. It also has fun shooting games ideal for helping younger participants improve.
Just three years after it was founded, Sport Quantum is on the fast track, with 500 units already sold in 20 countries. The company has six international patents. In 2020, Sport Quantum began working with elite athletes like French Olympic shooting champion Céline Goberville to help develop its devices and come up with new training methods to help users get the most out of the product.
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In 2019, with the 2024 Paris Olympic and Paralympic Games just a few years away, France’s national research agency (ANR) introduced a grant program to rally the scientific community around projects to help high-level athletes achieve maximum performance. CEA-List is engaged in three of the projects selected to receive funding. The institute’s artificial intelligence experts are putting their talents to work to analyze images and behaviors of athletes in motion in real time and on a large scale.
The FULGUR project (coordinated by INSEP) is helping identify injury risk factors so that training regimens can be modified and the risk of injury reduced. Here, CEA-List researchers worked on two main components: First, they developed measurement tools to quantify the effects of stress on muscle fibers during physical effort based on ultrasound images. They then used video analysis to reconstruct sprinters’ posture and movements to determine the biomechanical stress on their bodies.
The TEAM-SPORTS project, (coordinated by Université de Bourgogne Franche-Comté), is exploring a social approach to understanding group dynamics in team sports—crucial to optimizing performance. CEA-List’s video analysis algorithms are being used to detect the positions of players’ bodies and interactions between teammates to help coaches understand group dynamics. The technology measures each player’s unique and situation-dependent position with regard to the group so that coaches can analyze and fine-tune the group’s collective behavior.
Imagine if you could know all of your opponents’ serve-return strengths, weaknesses, and patterns and improve your own performance at the same time! The BEST-TENNIS project will soon make this scenario a reality. Video footage of competitive matches will be analyzed to provide coaches with insights into the strategies and characteristics of their players’ opponents. The research (led by Université de Rennes) concerns all French Tennis Federation players, both able-bodied and wheelchair users.