Applying vision-based pose estimation in a telerehabilitation application
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Ingeniería de Sistemas y Automática; Ingeniería Telemática; Lenguajes y Sistemas Informáticos; Proyectos de Ingeniería; Teoría de la Señal y las ComunicacionesPatrocinadores
This work has been partially supported by the Spanish State Research Agency, under project grant AriSe2: FINe (Ref. PID2020-116329GB-C22/AEI/10.13039/501100011033), the Spanish Government projects “GenoVision” (Ref. BFU2017-88300-C2-2-R), the “Research Programme for Groups of Scientific Excellence in the Region of Murcia” of the Seneca Foundation (Agency for Science and Technology in the Region of Murcia—19895/GERM/15) and HORECOV2 (Ref: 2I20SAE00082_HORECOV2) of Fondo Europeo de Desarrollo Regional (FEDER).Fecha de publicación
2021-09-30Editorial
MDPICita bibliográfica
Rosique, F.; Losilla, F.; Navarro, P.J. Applying Vision-Based Pose Estimation in a Telerehabilitation Application. Applied Sciences. 2021; 11(19): 9132. https://doi.org/10.3390/app11199132Revisión por pares
siPalabras clave
TelerehabilitationVision-based
Pose estimation
Exergames
Resumen
In this paper, an augmented reality mirror application using vision-based human pose detection based on vision-based pose detection called ExerCam is presented. ExerCam does not need any special controllers or sensors for its operation, as it works with a simple RGB camera (webcam type), which makes the application totally accessible and low cost. This application also has a system for managing patients, tasks and games via the web, with which a therapist can manage their patients in a ubiquitous and totally remote way. As a final conclusion of the article, it can be inferred that the application developed is viable as a telerehabilitation tool, as it has the resource of a task mode for the calculation of the range of motion (ROM) and, on the other hand, a game mode to encourage patients to improve their performance during the therapy, with positive results obtained in this aspect.
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