Résumé
Motion-based video games, or physio-games, have shown promise in stimulating motor and cognitive functions among older adults and individuals with disabilities. However, their deployment remains limited due to the reliance on dedicated capture hardware and the lack of integrated support for both gross and fine motor interactions. In this work, we introduce AutonoMoov, a mobile physio-gaming platform that runs entirely on smartphones and tablets using their built-in RGB cameras. Leveraging MediaPipe for real-time markerless pose estimation, AutonoMoov supports a wide range of motor interactions, from large-scale limb movements to fine finger gestures, without external sensors. We also introduce Origins, a Unity library that bridges pose estimation with multi-level motion interaction and will include rhythmic control mechanisms to enhance engagement and embodiment. Our platform integrates several serious games and is designed for accessible, portable use in care homes, clinics, and domestic environments.