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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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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