Abstract
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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CITATION STYLE
Rosique, F., Losilla, F., & Navarro, P. J. (2021). Applying vision‐based pose estimation in a telerehabilitation application. Applied Sciences (Switzerland), 11(19). https://doi.org/10.3390/app11199132
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