Abstract
In this paper, it is proposed a computer-vision system that supports goniometry in the human body in order to provide an alternative digitized tool of a goniometer. The proposed system is based on computer vision algorithms and embedded systems. The device captures an image taken with a camera for Raspberry Pi 3 and it calculates the angle formed between the joints with color segmentation algorithms, contour detection and geometric formulas, in order to display the captured image on an LCD screen for Raspberry Pi 3 and the measured angle. Our algorithm can be considered to be a real-time system since the execution lasts 18.31 ms on average for getting a measure of the arc of movement.
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Acknowledgment
This article is supported by National Polytechnic Institute (Instituto Poliécnico Nacional) of Mexico by means of projects No. 20200638 and 20200324 and granted by Secretariat of Research and Postgraduate (Secretería de Investigación y Posgrado), National Council of Science and Technology of Mexico (CONACyT). The research described in this work was carried out at the Superior School of Mechanical and Electrical Engineering (Escuela Superior de Ingeniería Mecánica y Eléctrica), Campus Zacatenco. It should be noted that the results of this work were carried out by Bachelor Degree students Paola Angélica Ruiz Araiza and Rubén Alejandro Sea Torres.
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Matamoros, O.M., Araiza, P.A.R., Torres, R.A.S., Escobar, J.J.M., Padilla, R.T. (2021). Computer-Vision System for Supporting the Goniometry. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2 . FTC 2020. Advances in Intelligent Systems and Computing, vol 1289. Springer, Cham. https://doi.org/10.1007/978-3-030-63089-8_62
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DOI: https://doi.org/10.1007/978-3-030-63089-8_62
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