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A proposal for a mobile application pipeline for posture-based muscle rehabilitation at home
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Orientador(es)
Resumo(s)
This work outlines the development process of a rehabilitation system from smartphones to provide remote monitoring and real-time feedback assistance in muscle rehabilitation
exercises. The system leverages advanced machine learning techniques, such as pose estimation techniques and anomaly detection models, in tracking users’ movements and assessing the performance of exercises. The system is designed to identify deviations from correct movement patterns and provide corrective feedback, allowing patients to engage in home-based rehabilitation withoutspecialized hardware. This paper details the system design, data acquisition methods, and the machine learning models used to detect incorrect movements. The outlined pipeline is intended to facilitate the creation of an affordable, cost-effective, and scalable rehabilitation platform for strengthening patient adherence to exercises and optimizing recovery outcomes.
Descrição
Palavras-chave
igital health technology Home-based rehabilitation Pose estimation Tele-rehabilitation
Contexto Educativo
Citação
Lopes, Júlio Castro; Van-Deste, Isaac; Lopes, Rui Pedro (2025). A proposal for a mobile application pipeline for posture-based muscle rehabilitation at home. In 13th IEEE Conference on Serious Games and Applications for Health. Manchester:IEEE. p. 1-5. ISBN 979-833159919-5
Editora
IEEE