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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationInformation Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings
EditorsJuan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
PublisherSpringer Science and Business Media Deutschland GmbH
Pages223-235
Number of pages13
ISBN (Print)9783030762278
DOIs
StatePublished - 2021
Event7th Annual International Conference on Information Management and Big Data, SIMBig 2020 - Virtual, Online
Duration: 1 Oct 20203 Oct 2020

Publication series

NameCommunications in Computer and Information Science
Volume1410 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference7th Annual International Conference on Information Management and Big Data, SIMBig 2020
CityVirtual, Online
Period1/10/203/10/20

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

  • Android OpenCV
  • Anterior cruciate ligament
  • Image recognition
  • Mobile application
  • Rehabilitation

Fingerprint

Dive into the research topics of 'Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee'. Together they form a unique fingerprint.

Cite this