A Modular Web-Based Framework for Inclusive Telerehabilitation and Faster Serious Game Development

  • Yam Gomes da Cunha UFRN
  • Rummenigge Rudson Dantas UFRN

Resumo


Introduction: Adherence to telerehabilitation is frequently hindered by hardware obsolescence and the lack of diverse therapeutic content, leading to patient boredom and high dropout rates. Objective: This paper proposes a modular, web-based framework designed to decouple kinematic sensing from game logic, fostering a rapid-prototyping ecosystem for diverse serious games. Methodology: The architecture utilizes a "Virtual Sensor" layer that abstracts computer vision data (from MediaPipe/TensorFlow.js) into standardized therapeutic metrics ([0, 1] scale), ensuring inclusive gameplay regardless of the patient’s individual range of motion and processed entirely on the client side to ensure real-time feedback. Results: By enabling the quick development of varied, short-duration games, the framework aims to maintain high adherence levels and empowerment among elderly patients, as reported in clinical exergaming studies, while also facilitating a "zero-install" environment that lowers the barrier to entry for elderly patients and independent game developers.
Palavras-chave: telerehabilitation, serious games, computer vision, modular architecture, calibration

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Publicado
29/09/2026
CUNHA, Yam Gomes da; DANTAS, Rummenigge Rudson. A Modular Web-Based Framework for Inclusive Telerehabilitation and Faster Serious Game Development. In: TRILHA DE SAÚDE – ARTIGOS CURTOS - SIMPÓSIO BRASILEIRO DE JOGOS E ENTRETENIMENTO DIGITAL (SBGAMES), 25. , 2026, Goiânia/GO. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2026 . p. 518-525. DOI: https://doi.org/10.5753/sbgames_estendido.2026.26396.