Measuring Ankle Angle and Analysis of Walking Gait using Kinovea

Understanding the biomechanics of motion related to human walking gait is important in the area of rehabilitation. Infrared cameras motion capture systems have been widely used. Nevertheless, the system is very expensive and thus alternative solutions are explored. This study is aimed to measure the...

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Main Authors: Nur Amirah Hanisah Hisham, Ahmad Faiz Ahmad Nazri, June Madete, Lilik Herawati, Jamaluddin Mahmud
Format: Book Section PeerReviewed
Language:English
English
English
Published: Universiti Teknologi Malaysia 2017
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Online Access:http://repository.unair.ac.id/96814/1/Bukti%20C.27.pdf
http://repository.unair.ac.id/96814/2/Peer%20Review%2027.pdf
http://repository.unair.ac.id/96814/3/Measuring%20Ankle%20Angle%20and%20Analysis%20of%20Walking%20Gait%20using%20Kinovea.pdf
http://repository.unair.ac.id/96814/
https://www.researchgate.net/publication/323725128_Measuring_Ankle_Angle_and_Analysis_of_Walking_Gait_using_Kinovea
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spelling id-langga.968142020-08-12T03:52:03Z http://repository.unair.ac.id/96814/ Measuring Ankle Angle and Analysis of Walking Gait using Kinovea Nur Amirah Hanisah Hisham Ahmad Faiz Ahmad Nazri June Madete Lilik Herawati Jamaluddin Mahmud R Medicine (General) RA Public aspects of medicine Understanding the biomechanics of motion related to human walking gait is important in the area of rehabilitation. Infrared cameras motion capture systems have been widely used. Nevertheless, the system is very expensive and thus alternative solutions are explored. This study is aimed to measure the angle of ankle during walking and then assess the reliability of Kinovea in analysing walking gait. Firstly, a motion capture-analysis system combining HD VideoCam-Kinovea was validated. Then, a motion capture-analysis system combining HD DSLR Camera-Kinovea was used to capture the motion of walking and the relative angles of ankle during walking gait phases are measured. Three volunteered healthy subjects without any gait disorders, age ranged from 20 - 24 years were recruited for this study. Basic statistical analysis was carried out to compute the mean, standard deviation (SD) and variance. In terms of walking gait analysis that is the main part of the current study, the results revealed no statistically significant difference (variance < 5%) in the measured data for the same subject under five trials. This proves that the protocol is repeatable and the current system combining HD DSLR Camera-Kinovea is reliable. Universiti Teknologi Malaysia 2017 Book Section PeerReviewed text en http://repository.unair.ac.id/96814/1/Bukti%20C.27.pdf text en http://repository.unair.ac.id/96814/2/Peer%20Review%2027.pdf text en http://repository.unair.ac.id/96814/3/Measuring%20Ankle%20Angle%20and%20Analysis%20of%20Walking%20Gait%20using%20Kinovea.pdf Nur Amirah Hanisah Hisham and Ahmad Faiz Ahmad Nazri and June Madete and Lilik Herawati and Jamaluddin Mahmud (2017) Measuring Ankle Angle and Analysis of Walking Gait using Kinovea. In: International Medical Device and Technology Conference 2017. Universiti Teknologi Malaysia, Malaysia, pp. 247-250. ISBN 978-967-0194-93-6 FBME https://www.researchgate.net/publication/323725128_Measuring_Ankle_Angle_and_Analysis_of_Walking_Gait_using_Kinovea
institution Universitas Airlangga
building Universitas Airlangga Library
country Indonesia
collection UNAIR Repository
language English
English
English
topic R Medicine (General)
RA Public aspects of medicine
spellingShingle R Medicine (General)
RA Public aspects of medicine
Nur Amirah Hanisah Hisham
Ahmad Faiz Ahmad Nazri
June Madete
Lilik Herawati
Jamaluddin Mahmud
Measuring Ankle Angle and Analysis of Walking Gait using Kinovea
description Understanding the biomechanics of motion related to human walking gait is important in the area of rehabilitation. Infrared cameras motion capture systems have been widely used. Nevertheless, the system is very expensive and thus alternative solutions are explored. This study is aimed to measure the angle of ankle during walking and then assess the reliability of Kinovea in analysing walking gait. Firstly, a motion capture-analysis system combining HD VideoCam-Kinovea was validated. Then, a motion capture-analysis system combining HD DSLR Camera-Kinovea was used to capture the motion of walking and the relative angles of ankle during walking gait phases are measured. Three volunteered healthy subjects without any gait disorders, age ranged from 20 - 24 years were recruited for this study. Basic statistical analysis was carried out to compute the mean, standard deviation (SD) and variance. In terms of walking gait analysis that is the main part of the current study, the results revealed no statistically significant difference (variance < 5%) in the measured data for the same subject under five trials. This proves that the protocol is repeatable and the current system combining HD DSLR Camera-Kinovea is reliable.
format Book Section
PeerReviewed
author Nur Amirah Hanisah Hisham
Ahmad Faiz Ahmad Nazri
June Madete
Lilik Herawati
Jamaluddin Mahmud
author_facet Nur Amirah Hanisah Hisham
Ahmad Faiz Ahmad Nazri
June Madete
Lilik Herawati
Jamaluddin Mahmud
author_sort Nur Amirah Hanisah Hisham
title Measuring Ankle Angle and Analysis of Walking Gait using Kinovea
title_short Measuring Ankle Angle and Analysis of Walking Gait using Kinovea
title_full Measuring Ankle Angle and Analysis of Walking Gait using Kinovea
title_fullStr Measuring Ankle Angle and Analysis of Walking Gait using Kinovea
title_full_unstemmed Measuring Ankle Angle and Analysis of Walking Gait using Kinovea
title_sort measuring ankle angle and analysis of walking gait using kinovea
publisher Universiti Teknologi Malaysia
publishDate 2017
url http://repository.unair.ac.id/96814/1/Bukti%20C.27.pdf
http://repository.unair.ac.id/96814/2/Peer%20Review%2027.pdf
http://repository.unair.ac.id/96814/3/Measuring%20Ankle%20Angle%20and%20Analysis%20of%20Walking%20Gait%20using%20Kinovea.pdf
http://repository.unair.ac.id/96814/
https://www.researchgate.net/publication/323725128_Measuring_Ankle_Angle_and_Analysis_of_Walking_Gait_using_Kinovea
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