Integrative Analysis of Movement: AI-Enhanced Video and Inertial Sensors in Athletic Contexts

An in-depth examination of human movement proves invaluable for healthcare professionals and trainers, facilitating targeted interventions for specific pathologies, assessing movement compensation in post-injury activity, or identifying particular technical flaws. The exploited video analysis system excels in extracting pivotal features associated with subjects’ movements, and it has been successfully used in diverse scenarios, encompassing clinical contexts with neurodegenerative disease patients and sports environments with both amateur and professional athletes. Wearable inertial devices can provide comparable information, although they may involve, due to their invasiveness, a possible alteration of the specific movement. Nevertheless, they are very useful when video analysis cannot be used due to occlusions or other recording difficulties. This preliminary study aims to integrate movement measurements obtained through a marker less video analysis system that leverages artificial intelligence techniques with those acquired through inertial sensors directly placed on subjects.