Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee

Iam Contreras-Alcázar; Kreyh Contreras-Alcázar; Víctor Manuel Cornejo Aparicio

doi:10.1007/978-3-030-76228-5_16

Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee

Iam Contreras-Alcázar, Kreyh Contreras-Alcázar, Víctor Manuel Cornejo Aparicio

Departamento Académico de Ingeniería de Sistemas e Informática

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

Abstract

Anterior cruciate ligament injury is a condition that requires physical rehabilitation therapy. Due to the problems of the COVID-19 pandemic and the patient’s mobility problems, it is difficult to attend the rehabilitation sessions. The developed mobile application uses color recognition through the OpenCV library, with which a virtual goniometer can be generated by capturing the specific anatomical points of the lower limb through the camera of the device. It also allows controlling and monitoring the exercises prescribed by a specialist. The exercises performed by the patient are registered by the mobile application which captures the series and repetitions, the flexion and extension movements, and their maximum and minimum angles respectively; Thanks to this, proper performance can be tracked. The results of four test subjects of different ages and sexes were obtained by submitting them to rehabilitation exercises and recording their respective measurements, thus verifying the effectiveness of the mobile application.

Original language	English
Title of host publication	Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings
Editors	Juan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	223-235
Number of pages	13
ISBN (Print)	9783030762278
DOIs	https://doi.org/10.1007/978-3-030-76228-5_16
State	Published - 2021
Event	7th Annual International Conference on Information Management and Big Data, SIMBig 2020 - Virtual, Online Duration: 1 Oct 2020 → 3 Oct 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1410 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	7th Annual International Conference on Information Management and Big Data, SIMBig 2020
City	Virtual, Online
Period	1/10/20 → 3/10/20

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Android OpenCV
Anterior cruciate ligament
Image recognition
Mobile application
Rehabilitation

Access to Document

10.1007/978-3-030-76228-5_16

Cite this

Contreras-Alcázar, I., Contreras-Alcázar, K., & Cornejo Aparicio, V. M. (2021). Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. In J. A. Lossio-Ventura, J. C. Valverde-Rebaza, E. Díaz, & H. Alatrista-Salas (Eds.), Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings (pp. 223-235). (Communications in Computer and Information Science; Vol. 1410 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-76228-5_16

Contreras-Alcázar, Iam ; Contreras-Alcázar, Kreyh ; Cornejo Aparicio, Víctor Manuel. / Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. editor / Juan Antonio Lossio-Ventura ; Jorge Carlos Valverde-Rebaza ; Eduardo Díaz ; Hugo Alatrista-Salas. Springer Science and Business Media Deutschland GmbH, 2021. pp. 223-235 (Communications in Computer and Information Science).

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Contreras-Alcázar, I, Contreras-Alcázar, K & Cornejo Aparicio, VM 2021, Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. in JA Lossio-Ventura, JC Valverde-Rebaza, E Díaz & H Alatrista-Salas (eds), Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Communications in Computer and Information Science, vol. 1410 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 223-235, 7th Annual International Conference on Information Management and Big Data, SIMBig 2020, Virtual, Online, 1/10/20. https://doi.org/10.1007/978-3-030-76228-5_16

Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. / Contreras-Alcázar, Iam; Contreras-Alcázar, Kreyh; Cornejo Aparicio, Víctor Manuel.

Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. ed. / Juan Antonio Lossio-Ventura; Jorge Carlos Valverde-Rebaza; Eduardo Díaz; Hugo Alatrista-Salas. Springer Science and Business Media Deutschland GmbH, 2021. p. 223-235 (Communications in Computer and Information Science; Vol. 1410 CCIS).

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

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T1 - Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee

AU - Contreras-Alcázar, Iam

AU - Contreras-Alcázar, Kreyh

AU - Cornejo Aparicio, Víctor Manuel

PY - 2021

Y1 - 2021

N2 - Anterior cruciate ligament injury is a condition that requires physical rehabilitation therapy. Due to the problems of the COVID-19 pandemic and the patient’s mobility problems, it is difficult to attend the rehabilitation sessions. The developed mobile application uses color recognition through the OpenCV library, with which a virtual goniometer can be generated by capturing the specific anatomical points of the lower limb through the camera of the device. It also allows controlling and monitoring the exercises prescribed by a specialist. The exercises performed by the patient are registered by the mobile application which captures the series and repetitions, the flexion and extension movements, and their maximum and minimum angles respectively; Thanks to this, proper performance can be tracked. The results of four test subjects of different ages and sexes were obtained by submitting them to rehabilitation exercises and recording their respective measurements, thus verifying the effectiveness of the mobile application.

AB - Anterior cruciate ligament injury is a condition that requires physical rehabilitation therapy. Due to the problems of the COVID-19 pandemic and the patient’s mobility problems, it is difficult to attend the rehabilitation sessions. The developed mobile application uses color recognition through the OpenCV library, with which a virtual goniometer can be generated by capturing the specific anatomical points of the lower limb through the camera of the device. It also allows controlling and monitoring the exercises prescribed by a specialist. The exercises performed by the patient are registered by the mobile application which captures the series and repetitions, the flexion and extension movements, and their maximum and minimum angles respectively; Thanks to this, proper performance can be tracked. The results of four test subjects of different ages and sexes were obtained by submitting them to rehabilitation exercises and recording their respective measurements, thus verifying the effectiveness of the mobile application.

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PB - Springer Science and Business Media Deutschland GmbH

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ER -

Contreras-Alcázar I, Contreras-Alcázar K, Cornejo Aparicio VM. Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee. In Lossio-Ventura JA, Valverde-Rebaza JC, Díaz E, Alatrista-Salas H, editors, Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 223-235. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-76228-5_16

Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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