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Comparative Analysis of Question Answering Models for HRI Tasks with NAO in Spanish Read chapter Read first chapter

2021 | OriginalPaper | Chapter

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

Authors : Iam Contreras-Alcázar, Kreyh Contreras-Alcázar, Victor Cornejo-Aparicio

Published in: Information Management and Big Data

Publisher: Springer International Publishing

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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.

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Metadata
Title
Mobile Application for Movement Recognition in the Rehabilitation of the Anterior Cruciate Ligament of the Knee
Authors
Iam Contreras-Alcázar
Kreyh Contreras-Alcázar
Victor Cornejo-Aparicio
Copyright Year
2021
Book
Information Management and Big Data

Print ISBN: 978-3-030-76227-8

Electronic ISBN: 978-3-030-76228-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-76228-5_16

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