MediMoov, a Physio-Gaming Platform with Real-Time Interaction through Limbs Movements and Affordable Multi Modal Sensors - Laboratoire Image, Signaux et Systèmes Intelligents Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

MediMoov, a Physio-Gaming Platform with Real-Time Interaction through Limbs Movements and Affordable Multi Modal Sensors

Résumé

This article introduces the MediMoov platform, a software designed for motor rehabilitation, which leverages motion-based interaction methods to combine video gaming with physical therapy exercises (physio-gaming). It’s widely used in various healthcare environments, including rehabilitation centers and retirement homes. Users support its effectiveness, ease of use, simple setup, and diverse exercise options. Despite its success, MediMoov faces challenges, notably its reliance on the Microsoft Kinect v2 sensor. User feedback indicates a need to expand movement range for finer motor skills and enhance motion capture for disabled users. Clinicians desire a motion estimation tool offering biomechanically pertinent data. To address these issues, the article suggests upgrading MediMoov with advanced motion estimation, tracking, and gesture recognition technologies compatible with different sensors, including RGB cameras. These enhancements aim to make the platform more inclusive and effective in rehabilitation through physio-gaming, enlarging its utility and improving user experience for a diverse range of needs.
Fichier principal
Vignette du fichier
sample-manuscript.pdf (1.88 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04497268 , version 1 (09-03-2024)

Identifiants

  • HAL Id : hal-04497268 , version 1

Citer

Mohamed Adjel, Geoffrey Mélia, Guilhem Serrie, Samer Mohammed, Antoine Seilles. MediMoov, a Physio-Gaming Platform with Real-Time Interaction through Limbs Movements and Affordable Multi Modal Sensors. IHM'24 - 35e Conférence Internationale Francophone sur l'Interaction Humain-Machine, AFIHM; Sorbonne Université, Mar 2024, Paris, France. ⟨hal-04497268⟩
10 Consultations
2 Téléchargements

Partager

Gmail Facebook X LinkedIn More