A Computer Vision-based Architecture for Remote Physical Rehabilitation

Authors

  • Daniel Muller Rezende Computer Science Department, Federal University of Juiz de Fora, Brazil
  • Paulo Victor de Magalhães Rozatto Computer Science Department, Federal University of Juiz de Fora, Brazil
  • Dauane Joice Nascimento de Almeida Computer Science Department, Federal University of Juiz de Fora, Brazil
  • Filipe de Lima Namorato Computer Science Department, Federal University of Juiz de Fora, Brazil
  • Tatiane Daniele dos Santos Faculty of Physical Education and Sport, Federal University of Juiz de Fora, Brazil
  • Rodrigo Luis de Souza da Silva Computer Science Department, Federal University of Juiz de Fora, Brazil https://orcid.org/0000-0002-4187-8798

DOI:

https://doi.org/10.13052/jmm1550-4646.2045

Keywords:

Physical Rehabilitation, Computer Vision

Abstract

The use of computer vision in healthcare is constantly growing and the application of these techniques in the context of physical rehabilitation can bring great benefits. In this work, a software architecture was proposed which, with the use of computer vision techniques, aims to assist in the treatment and remote diagnosis of patients undergoing physical rehabilitation. The architecture was developed to allow the system to be used on computers and mobile devices. In the proposed system, the user with a professional profile can register and prescribe exercises for their patients according to the treatment. Users with a patient profile can view and perform the exercises that were prescribed for them in the application, relying on the application’s help to visually assist them with proper execution. A field research and a qualitative assessment were carried out in order to verify the usability and effectiveness of the application from the users’ point of view, with a positive reception.

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Author Biographies

Daniel Muller Rezende, Computer Science Department, Federal University of Juiz de Fora, Brazil

Daniel Muller Rezende is an undergraduate student in Computer Science at the Federal University of Juiz de Fora. His research interests are Computer Vision and Computer Graphics.

Paulo Victor de Magalhães Rozatto, Computer Science Department, Federal University of Juiz de Fora, Brazil

Paulo Victor de Magalhães Rozatto is an undergraduate student in Computer Science at the Federal University of Juiz de Fora. He has a IT Technician certificate from the Federal Institute of Rio de Janeiro (2018). His research interests are Computer Graphics, Augmented Reality, and Virtual Reality.

Dauane Joice Nascimento de Almeida, Computer Science Department, Federal University of Juiz de Fora, Brazil

Dauane Joice Nascimento de Almeida has her B.S. in Computer Science at the Federal University of Juiz de Fora and her research interests are software engineering and software development.

Filipe de Lima Namorato, Computer Science Department, Federal University of Juiz de Fora, Brazil

Filipe de Lima Namorato is an undergraduate student in Computer Science at the Federal University of Juiz de Fora. His research interests are Computer Vision and Computer Graphics.

Tatiane Daniele dos Santos, Faculty of Physical Education and Sport, Federal University of Juiz de Fora, Brazil

Tatiane Daniele dos Santos is an undergraduate student in Physical Education at the Federal University of Juiz de Fora. His research interests are entrepreneurship, marketing and Innovation in sport.

Rodrigo Luis de Souza da Silva, Computer Science Department, Federal University of Juiz de Fora, Brazil

Rodrigo Luis de Souza da Silva is an Associate Professor in the Department of Computer Science at Federal University of Juiz de Fora. He has a B.S. in Computer Science from the Catholic University of Petropolis (1999), M.S. in Computer Science from Federal University of Rio de Janeiro (2002), Ph.D. in Civil Engineering from Federal University of Rio de Janeiro (2006) and a postdoc in Computer Science from the National Laboratory for Scientific Computing (2008). His main research interests are Augmented Reality, Virtual Reality, Scientific Visualization and Computer Graphics.

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Published

2024-10-01

How to Cite

Rezende, D. M., Rozatto, P. V. de M., Almeida, D. J. N. de, Namorato, F. de L., Santos, T. D. dos, & Silva, R. L. de S. da. (2024). A Computer Vision-based Architecture for Remote Physical Rehabilitation. Journal of Mobile Multimedia, 20(04), 879–900. https://doi.org/10.13052/jmm1550-4646.2045

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