OBTAINING MEASUREMENTS OF THE ELBOW ARTICULATION USING MEDIAPIPE
DOI:
https://doi.org/10.56238/revgeov17n3-137Keywords:
Biomechanics, Computational Vision, Artificial Intelligence, Body’s Angles, MediaPipeAbstract
Biomechanics is a science that applies physics principles for analyze human body’s movements, in areas like sports, physiotherapy and ergonomics. Inside physiotherapy has the objective of prevent lesions, verify diseases, fractures analysis, protetics, deformations analysis, and evaluate the progress in patient’s recuperation. For this the knowledge of specific angles between some articulations allows to understand how these body’s parts behave. This article has as focus the initial and specific study of the angle formed between arm and forearm in the elbow articulation. This articulation is of interest when verifying lesions that can affect the movements, like Annular Ligaments lesions. Currently the measurements are done with the use of a goniometer, a manual tool that can be affected by values incertities. The proposition is to use a computational vision tool, with artificial intelligence supplied by MediaPipe the generate results in real time, to simplify the data collection for sector professionals, The angles results visualisation in a more stable manner, compared to manual methods, and independent of the professional conducting the measurements. Will be use only on a computer or tablet with a camera, connected to the Internet.
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References
Jia Qiu, et al; Biomechanical evaluation of anterolateral ligament anatomical variants in anterior cruciate ligament-injured and reconstructed knee joints; Clinical Biomechanics; Volume 13; 2026 https://doi.org/10.1016/j.clinbiomech.2025.106709. (https://www.sciencedirect.com/science/article/pii/S0268003325002827) Acesso em 16/01/2026
Ace, Gestão em Saúde; Manual de Goniometria, Medição de Ângulos Articulares, 2016, Disponível em: https://acegs.com.br/wp-content/uploads/2016/06/MANUAL-DE-GONIOMETRIA-FINAL.pdf,
3) SACCO, Isabel de Camargo Neves et al. Confiabilidade da fotogrametria em relação a goniometria para avaliação postural de membros inferiores. Brazilian Journal of Physical Therapy, v. 11, n. 5, p. 411-417, 2007.
4) BMCLab, Software de Avaliação Postural, 2006 disponivevl em: https://bmclab.pesquisa.ufabc.edu.br/sapo/
5) Helmya, N.A., El-Sayyadb, M.M. & Kattabeib, O.M. Intra-rater and inter-rater reliability of Surgimap Spine software for measuring spinal postural angles from digital photographs. Bull Fac Phys Ther 20, 193–199 (2015). https://doi.org/10.4103/1110-6611.174719
6)Ferreira, Milene E. C.; Programa de intervenção conservadora em adolescentes com escoliose idiopática moderada e grave; 2025; https://www.teses.usp.br/teses/disponiveis/17/17142/tde-14072025-111028/en.php
7) Helano M. B. F. P. Et all, Aplicação Móvel Para Avaliação Postural Usando Visão Computacional, https://proceedings.science/sbai-2019/papers/aplicacao-movel-para-avaliacao-postural-usando-visao-computacional, 2019,
8) Lugaresi, Camilo; MediaPipe: A Framework for Perceiving and Processing Reality; https://static1.squarespace.com/static/5c3f69e1cc8fedbc039ea739/t/5e130ff310a69061a71cbd7c/1578307584840/NewTitle_May1_MediaPipe_CVPR_CV4ARVR_Workshop_2019.pdf; 2019
9) Google; MediaPipe: Read the Docs; https://mediapipe.readthedocs.io/en/latest/framework_concepts/gpu.html, 2020