Using artificial vision for measuring the range of motion
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Arquitectura y Tecnología de Computadoras; Lenguajes y Sistemas InformáticosPatrocinadores
Este trabajo ha sido financiado por el proyecto MINECO/FEDER con identificador TEC2016-76465-C2-1-R (AIM) y por el “Research Program for Groups of Scientific Excellence in the Region of Murcia" de la Fundación Seneca (Agency for Science and Technology in the Region of Murcia – 19895/GERM/15), España.Fecha de publicación
2021-07Editorial
Institute of Electrical and Electronics EngineersCita bibliográfica
F. Rosique, F. Losilla and P. J. Navarro, "Using Artificial Vision for Measuring the Range of Motion," in IEEE Latin America Transactions, vol. 19, no. 7, pp. 1129-1136, July 2021, doi: 10.1109/TLA.2021.9461841Revisión por pares
siPalabras clave
augmented realitytelerehabilitation
pose estimation
artificial vision
Resumen
Measurement of joint range of motion is a common measure in the functional evaluation of a patient. This clinical measurement is performed through the use of mechanical goniometry, currently presenting various problems mainly of a human nature. This article introduces ROMCam, an alternative system for measuring joint range of motion, based on estimating the human pose in 2D. For this, use is made of artificial vision libraries and the use of an RGB webcam type camera. The results obtained corroborate the validity of the use of ROMCam as a low cost, accessible tool that can even be used as a resource in telerehabilitation treatments.
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