The implementation of technology in the performance of athletes is something that has been implemented for some time. Now, with the arrival of the Artificial intelligencedata analysis could take a new direction.
The new
It is common to see footballers wearing bibs that contain a device that sends data for the interpretation of parameters such as the distance traveled or the performance of the footballer's body during the match. Also, it is normal to use video analysts to prepare matches according to different performances of rival teams.
However, the Artificial intelligence It could now lend a hand in interpreting the data and could even help prevent future injuries. He Muscular Strength Evaluation System (SEFUM) created in Audacitythe center for artificial intelligence and robotics of the Simon Bolivar Universitywould fulfill this purpose, leaving the AI with the task of interpreting parameters in the performance of the footballers.
The system, which is already in the testing stage, had as its first subjects the players from the professional team of the Junior from Barranquilla Last monday. The system was created jointly by physical therapists and engineers focused on physical activity.
How does it work?
Sefum It is a system made up of two devices that use sensors to collect data: Jumptech and Nomid.
The first is a mat that analyzes the jump of athletes and collects data on time, landing, force and even the symmetry between the legs. Besides, Nomid It is a type of bench in which athletes, kneeling and held by the ankles, lean forward until their torso is upright. With this exercise, data on strength and performance of leg muscles is collected.
The parameters collected by the two devices, analyzed by Artificial Intelligence and compared with common injuries of footballers, They can make the prediction or recovery of footballers more focused and improve times.
“Sefum will allow medical departments to focus on the needs of each athlete” said Reynaldo Villarreal, director of AudacIA. In addition, the device is designed to improve analyzes worldwide, since, according to Raúl Polo, doctor in Health Sciences, “The globally validated platforms provide up to 26 parameters, with Sefum we can obtain data on more than 80 parameters.”
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