Computer-Vision System for Supporting the Goniometry

Oswaldo Morales Matamoros; Paola Angélica Ruiz Araiza; Rubén Alejandro Sea Torres; Jesús Jaime Moreno Escobar; Ricardo Tejeida Padilla

doi:10.1007/978-3-030-63089-8_62

Computer-Vision System for Supporting the Goniometry

Oswaldo Morales Matamoros, Paola Angélica Ruiz Araiza, Rubén Alejandro Sea Torres, Jesús Jaime Moreno Escobar, Ricardo Tejeida Padilla

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Zacatenco

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the Future Technologies Conference, FTC 2020, Volume 2
Editors	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	946-964
Number of pages	19
ISBN (Print)	9783030630881
DOIs	https://doi.org/10.1007/978-3-030-63089-8_62
State	Published - 2021
Event	Future Technologies Conference, FTC 2020 - San Francisco, United States Duration: 5 Nov 2020 → 6 Nov 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1289
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Future Technologies Conference, FTC 2020
Country/Territory	United States
City	San Francisco
Period	5/11/20 → 6/11/20

Keywords

Computer vision
Embedded systems
Goniometry
Physiotherapy

Access to Document

10.1007/978-3-030-63089-8_62

Cite this

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 K. Arai, S. Kapoor, & R. Bhatia (Eds.), Proceedings of the Future Technologies Conference, FTC 2020, Volume 2 (pp. 946-964). (Advances in Intelligent Systems and Computing; Vol. 1289). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-63089-8_62

Matamoros, Oswaldo Morales ; Araiza, Paola Angélica Ruiz ; Torres, Rubén Alejandro Sea et al. / Computer-Vision System for Supporting the Goniometry. Proceedings of the Future Technologies Conference, FTC 2020, Volume 2. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer Science and Business Media Deutschland GmbH, 2021. pp. 946-964 (Advances in Intelligent Systems and Computing).

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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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Matamoros, OM, Araiza, PAR, Torres, RAS, Escobar, JJM & Padilla, RT 2021, Computer-Vision System for Supporting the Goniometry. in K Arai, S Kapoor & R Bhatia (eds), Proceedings of the Future Technologies Conference, FTC 2020, Volume 2. Advances in Intelligent Systems and Computing, vol. 1289, Springer Science and Business Media Deutschland GmbH, pp. 946-964, Future Technologies Conference, FTC 2020, San Francisco, United States, 5/11/20. https://doi.org/10.1007/978-3-030-63089-8_62

Computer-Vision System for Supporting the Goniometry. / Matamoros, Oswaldo Morales; Araiza, Paola Angélica Ruiz; Torres, Rubén Alejandro Sea et al.
Proceedings of the Future Technologies Conference, FTC 2020, Volume 2. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer Science and Business Media Deutschland GmbH, 2021. p. 946-964 (Advances in Intelligent Systems and Computing; Vol. 1289).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Matamoros, Oswaldo Morales

AU - Araiza, Paola Angélica Ruiz

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AU - Escobar, Jesús Jaime Moreno

AU - Padilla, Ricardo Tejeida

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AB - 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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KW - Embedded systems

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Matamoros OM, Araiza PAR, Torres RAS, Escobar JJM, Padilla RT. Computer-Vision System for Supporting the Goniometry. In Arai K, Kapoor S, Bhatia R, editors, Proceedings of the Future Technologies Conference, FTC 2020, Volume 2. Springer Science and Business Media Deutschland GmbH. 2021. p. 946-964. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-63089-8_62

Computer-Vision System for Supporting the Goniometry

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Keywords

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