Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor

This paper presents a hybrid solution (software and hardware) integrating the computer and the Kinect sensor. The proposed solution, named GoNet v2, is an instrument for the dynamic and automatic evaluation of biomechanical rehabilitation processes. Experimental tests to evaluate the range of motion...

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Main Authors: Joel S. Da Cunha Neto, Pedro P. Reboucas Filho, Guilherme P. Ferreira Da Silva, Natalia B. Da Cunha Olegario, Joao Batista F. Duarte, Victor Hugo C. De Albuquerque
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8314555/
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spelling doaj-65f666e4e4f94fce8cfd826e69c3b3bb2021-03-29T21:00:13ZengIEEEIEEE Access2169-35362018-01-016172921730510.1109/ACCESS.2018.28117208314555Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect SensorJoel S. Da Cunha Neto0Pedro P. Reboucas Filho1Guilherme P. Ferreira Da Silva2Natalia B. Da Cunha Olegario3Joao Batista F. Duarte4Victor Hugo C. De Albuquerque5https://orcid.org/0000-0003-3886-4309Programa de Pós-Graduação em Informática Aplicada, Universidade de Fortaleza, Fortaleza, BrazilLaboratório de Processamento de Imagens e Simulação Computacional, Instituto Federal de EducaÇão, Ciencia e Tecnologia do Ceará, Limoeiro do Norte, BrazilNúcleo de Pesquisa do Centro de Ciências da Saúde, Universidade de Fortaleza, Fortaleza, BrazilNúcleo de Pesquisa do Centro de Ciências da Saúde, Universidade de Fortaleza, Fortaleza, BrazilPrograma de Pós-Graduação em Informática Aplicada, Universidade de Fortaleza, Fortaleza, BrazilPrograma de Pós-Graduação em Informática Aplicada, Universidade de Fortaleza, Fortaleza, BrazilThis paper presents a hybrid solution (software and hardware) integrating the computer and the Kinect sensor. The proposed solution, named GoNet v2, is an instrument for the dynamic and automatic evaluation of biomechanical rehabilitation processes. Experimental tests to evaluate the range of motion of body joints, especially for elbow flexion, elbow extension, shoulder abduction, shoulder flexion, radial deviation, and ulnar deviation, are presented and discussed. We also presented the exergamers for rehabilitation tests, based on Kabat diagonal and squatting. Ten healthy individuals were evaluated using the GoNet v2 and the universal goniometer, and twelve professionals evaluated the instrument through a survey. The intraclass correlation coefficient (ICC) was used to analyze the reproducibility, and for the accuracy analysis the errors were compared using the mean of the worst cases with movement. Regarding intraexaminer and inter-examiner reproducibility, high ICC values were found for the range of flexion/extension of the shoulder, abduction of the shoulder, and ulnar deviation, thus showing its optimum precision. According to the evaluation of the specialists, the GoNet v2 gave better results for the flexion/extension of the shoulder (3.61%) and elbow (3.17%), and also the abduction (2.11%) of the shoulder compared with the goniometer. The results showed that the GoNet v2 had a high reproducibility, except for radial deviation. The accuracy results were good for the abduction measurements of the shoulder and the flexion/extension measurements of the elbow and shoulder.https://ieeexplore.ieee.org/document/8314555/Arthrometrybiomechanical rehabilitationexergamesKinect sensordynamic evaluationgoniometry
collection DOAJ
language English
format Article
sources DOAJ
author Joel S. Da Cunha Neto
Pedro P. Reboucas Filho
Guilherme P. Ferreira Da Silva
Natalia B. Da Cunha Olegario
Joao Batista F. Duarte
Victor Hugo C. De Albuquerque
spellingShingle Joel S. Da Cunha Neto
Pedro P. Reboucas Filho
Guilherme P. Ferreira Da Silva
Natalia B. Da Cunha Olegario
Joao Batista F. Duarte
Victor Hugo C. De Albuquerque
Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor
IEEE Access
Arthrometry
biomechanical rehabilitation
exergames
Kinect sensor
dynamic evaluation
goniometry
author_facet Joel S. Da Cunha Neto
Pedro P. Reboucas Filho
Guilherme P. Ferreira Da Silva
Natalia B. Da Cunha Olegario
Joao Batista F. Duarte
Victor Hugo C. De Albuquerque
author_sort Joel S. Da Cunha Neto
title Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor
title_short Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor
title_full Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor
title_fullStr Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor
title_full_unstemmed Dynamic Evaluation and Treatment of the Movement Amplitude Using Kinect Sensor
title_sort dynamic evaluation and treatment of the movement amplitude using kinect sensor
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description This paper presents a hybrid solution (software and hardware) integrating the computer and the Kinect sensor. The proposed solution, named GoNet v2, is an instrument for the dynamic and automatic evaluation of biomechanical rehabilitation processes. Experimental tests to evaluate the range of motion of body joints, especially for elbow flexion, elbow extension, shoulder abduction, shoulder flexion, radial deviation, and ulnar deviation, are presented and discussed. We also presented the exergamers for rehabilitation tests, based on Kabat diagonal and squatting. Ten healthy individuals were evaluated using the GoNet v2 and the universal goniometer, and twelve professionals evaluated the instrument through a survey. The intraclass correlation coefficient (ICC) was used to analyze the reproducibility, and for the accuracy analysis the errors were compared using the mean of the worst cases with movement. Regarding intraexaminer and inter-examiner reproducibility, high ICC values were found for the range of flexion/extension of the shoulder, abduction of the shoulder, and ulnar deviation, thus showing its optimum precision. According to the evaluation of the specialists, the GoNet v2 gave better results for the flexion/extension of the shoulder (3.61%) and elbow (3.17%), and also the abduction (2.11%) of the shoulder compared with the goniometer. The results showed that the GoNet v2 had a high reproducibility, except for radial deviation. The accuracy results were good for the abduction measurements of the shoulder and the flexion/extension measurements of the elbow and shoulder.
topic Arthrometry
biomechanical rehabilitation
exergames
Kinect sensor
dynamic evaluation
goniometry
url https://ieeexplore.ieee.org/document/8314555/
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