Communication Dans Un Congrès Année : 2025

AutonoMoov: an Embedded Physio-Gaming Platform with Multi-level and Rhythmic Motor Interaction

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.

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Dates et versions

hal-05301479 , version 1 (07-10-2025)

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  • HAL Id : hal-05301479 , version 1

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Pierre Richard, Yanis Zaoui, Mohamed Adjel, Valentin Begel, Nancy Rodriguez. AutonoMoov: an Embedded Physio-Gaming Platform with Multi-level and Rhythmic Motor Interaction. IHM 2025 - 36e Conférence Internationale Francophone sur l'Interaction Humain-Machine, AFIHM; Université de Toulouse; ENAC, Nov 2025, Toulouse, France. ⟨hal-05301479⟩
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