Silvia Fantozzi, Associate Professor at the University of Bologna, will present the use of inertial sensors for the biomechanic analysis of swimming from the laboratory validation to the in-field use with athlete during training session. Different solutions and analysis will be described: from single to multiple sensors, from temporal phases to joint kinematic analysis. The recent development of wearable inertial sensors allows quantitative evaluation of swimming technique for improving performance and injury prevention.
This work will focus on several major challenges: sensor features and locations, type of kinematic analysis, validation in laboratory and in swimming pool. These solutions aim to provide quantitative feedback to coaches and athletes for improving performance and reduce risk of injury.
DIGISPORT PhD student, he will be present at our Winter School to lead a workshop on his thesis topic conducted in a real situation on the athletics track.
The use of inertial measurement units (IMUs) and markerless analysis technologies represents a significant advance in the biomechanical analysis of sport, particularly for complex disciplines such as pole vaulting in training and competition conditions. The aim of this workshop is to propose a toolbox for biomechanical analysis applied to pole vaulting, based on data obtained by inertial measurement units (IMUs) and markerless video capture.
From the 'Movement Sport Health laboratory' (M2S laboratory), he will present inertial sensors and artificial intelligence for motion analysis in high level sport. Biomechanical analysis plays a key role in optimizing sports performance by enabling regular and precise motion capture in real training conditions. Thanks to technological advancements, the development of wearable sensors has made a significant leap forward, allowing for more detailed and relevant analysis of athletes' movements.
Today, artificial intelligence (AI) is revolutionizing the use of these sensors by providing instant feedback aligned with the demands of high-level sports. In preparation for the 2024 Olympic Games, he has conducted innovative research combining AI and inertial measurement units (IMUs) to evaluate and optimize athletes' movements.
This work has focused on several major challenges: sensor selection and acceptability among elite athletes, sensor-to-segment calibration, and the automation of analysis processes. These solutions aim to provide continuous assessments during training and competition, with the ultimate goal of improving performance.
DIGISPORT PhD student, he will be present at our Winter School to lead a workshop on his thesis topic. Working closely with French swimmers during their daily training sessions, competitions, and the Olympic Games, his aim is to provide scientific support to their performance and race strategies.
In both pool and open water settings, the use of data from inertial measurement units (IMU) offers an interesting perspective for performance monitoring. The goal of this workshop is to propose a biomechanical monitoring toolbox for swimming, easily usable in real training and competition conditions with high-level swimmers.
