Understanding human movement: new episode of the RAISE video-podcast now online
A new episode of Encounters with the “Incontri con il Futuro – Storie di innovazione dall’ecosistema RAISE”, the video-podcast created in collaboration with Rinnovabili.it, is now available. The series highlights key players and emerging frontiers in robotics and artificial intelligence research.
This episode has explored a field of strong scientific and practical relevance: the analysis of human movement and the opportunities offered by digital technologies to understand it with increasing accuracy and accessibility.
The guest of the episode is Matteo Moro, Computer Science researcher at the University of Genoa at MaLGa Center, whose work is part of Spoke 2 within the RAISE ecosystem.
During the conversation, the discussion has shown how technologies such as computer vision and machine learning have opened new possibilities in the study of movement. Analysis has relied on simple video recordings, enabling the observation and interpretation of gestures and body dynamics without the need for invasive sensors or complex laboratory equipment. This approach has made data collection and processing more accessible, supporting a wider adoption of advanced tools.
The episode has focused in particular on clinical and rehabilitation applications. Matteo Moro has explained how gait analysis represents a key area, where artificial intelligence has enabled the identification of patterns and variations useful for understanding a person’s health status. Systematic observation of movement has provided valuable insights for monitoring rehabilitation pathways and evaluating therapeutic outcomes.
The conversation has also highlighted the contribution of these technologies to the study of neurological disorders. The interpretation of visual data has made it possible to detect subtle signals, paving the way for increasingly refined tools to support diagnosis and clinical follow-up. The use of video data collected in everyday environments has also brought research closer to clinical practice, creating new opportunities for integration between technological innovation and medicine.
Throughout the episode, the dialogue has emphasized the importance of an interdisciplinary approach, where expertise in computer science, medicine, and other scientific fields has converged to develop concrete solutions. The RAISE ecosystem has provided a collaborative environment in which these synergies have taken shape, fostering tools capable of addressing real-world needs.
This new episode offers a clear and accessible overview of how artificial intelligence can help interpret the language of the human body, transforming visual data into meaningful knowledge for research and healthcare. It presents a perspective in which innovation brings advanced technologies closer to everyday life, opening concrete opportunities for the future of health and well-being.
