| KEYWORD |
Development of innovative digital solutions for tracking and analyzing athletes' sports performances
keywords ARTIFICIAL INTELLIGENCE, COMPUTER VISION, HUMAN MACHINE INTERFACE
Reference persons SANDRO MOOS, LUCA ULRICH, ENRICO VEZZETTI
Research Groups 3D LAB
Thesis type SPERIMENTAL
Description The high level of competitiveness detectable during sporting events leads athletes and coaches to explore innovative working methodologies for improving performance. Even in this area, the digital transition is bringing significant benefits to optimize the execution of exercises and evaluate progress both in training and in competition.
This thesis aims to develop an interface for tracking the athlete's body through the simultaneous use of multiple cameras (Azure Kinect, Intel RealSense) and the integration of artificial intelligence algorithms (Deep Learning) for the evaluation of gestures technicians.
Required skills Computer Vision Basics; Programming skills (Python, C#)
Deadline 17/09/2025
PROPONI LA TUA CANDIDATURA