Kinematic-based knee angle correction for gait analysis using single kinect sensor

© 2018 IEEE. Gait analysis plays an important role of offering an insight in quality of human ambulation. It is able to provide both spatial and temporal information. Furthermore, the biomechanics knowledge including kinematics and kinetics information is also extracted. Unusual walking can indicate...

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Main Authors: Tamonwan Sukumpee, Nipon Theera-Umpon, Samatchai Chamnongkich, Sansanee Auephanwiriyakul
Format: Conference Proceeding
Published: 2019
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/65458
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-654582019-08-05T04:39:18Z Kinematic-based knee angle correction for gait analysis using single kinect sensor Tamonwan Sukumpee Nipon Theera-Umpon Samatchai Chamnongkich Sansanee Auephanwiriyakul Chemical Engineering Computer Science Engineering Mathematics © 2018 IEEE. Gait analysis plays an important role of offering an insight in quality of human ambulation. It is able to provide both spatial and temporal information. Furthermore, the biomechanics knowledge including kinematics and kinetics information is also extracted. Unusual walking can indicate some health problems. Therefore, it is important to consider the altering in individual's gait parameters in order to prevent an adverse situation such as falling. Besides, gait analysis can be a crucial tool of guiding the proper rehabilitation. For decades, the technologies and methods used in gait analysis have been developed. The existing technologies have found a variety of limitations whether controlled environment, extremely expensive or complicated computation need. Many research works have employed the low-cost video camera called Kinect device to the medical filed. It shows an excellent result compared to the gold standard. However, there are some problems of the accuracy needed to be improved. In this paper, we propose a novel algorithm to correct kinematics knee joint trajectory using kinematic-based algorithm to detect outliers and then each of 4 interpolation methods, i.e., Fourier series, Spline interpolation, Gaussian, and Polynomial interpolation is employed to reconstruct new data. By using Fourier series, the promising results are achieved compared to the expert measurements with the root mean square error of 4.48 degrees on average. 2019-08-05T04:33:36Z 2019-08-05T04:33:36Z 2019-04-08 Conference Proceeding 2-s2.0-85065043971 10.1109/ICCSCE.2018.8685025 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065043971&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65458
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Chemical Engineering
Computer Science
Engineering
Mathematics
spellingShingle Chemical Engineering
Computer Science
Engineering
Mathematics
Tamonwan Sukumpee
Nipon Theera-Umpon
Samatchai Chamnongkich
Sansanee Auephanwiriyakul
Kinematic-based knee angle correction for gait analysis using single kinect sensor
description © 2018 IEEE. Gait analysis plays an important role of offering an insight in quality of human ambulation. It is able to provide both spatial and temporal information. Furthermore, the biomechanics knowledge including kinematics and kinetics information is also extracted. Unusual walking can indicate some health problems. Therefore, it is important to consider the altering in individual's gait parameters in order to prevent an adverse situation such as falling. Besides, gait analysis can be a crucial tool of guiding the proper rehabilitation. For decades, the technologies and methods used in gait analysis have been developed. The existing technologies have found a variety of limitations whether controlled environment, extremely expensive or complicated computation need. Many research works have employed the low-cost video camera called Kinect device to the medical filed. It shows an excellent result compared to the gold standard. However, there are some problems of the accuracy needed to be improved. In this paper, we propose a novel algorithm to correct kinematics knee joint trajectory using kinematic-based algorithm to detect outliers and then each of 4 interpolation methods, i.e., Fourier series, Spline interpolation, Gaussian, and Polynomial interpolation is employed to reconstruct new data. By using Fourier series, the promising results are achieved compared to the expert measurements with the root mean square error of 4.48 degrees on average.
format Conference Proceeding
author Tamonwan Sukumpee
Nipon Theera-Umpon
Samatchai Chamnongkich
Sansanee Auephanwiriyakul
author_facet Tamonwan Sukumpee
Nipon Theera-Umpon
Samatchai Chamnongkich
Sansanee Auephanwiriyakul
author_sort Tamonwan Sukumpee
title Kinematic-based knee angle correction for gait analysis using single kinect sensor
title_short Kinematic-based knee angle correction for gait analysis using single kinect sensor
title_full Kinematic-based knee angle correction for gait analysis using single kinect sensor
title_fullStr Kinematic-based knee angle correction for gait analysis using single kinect sensor
title_full_unstemmed Kinematic-based knee angle correction for gait analysis using single kinect sensor
title_sort kinematic-based knee angle correction for gait analysis using single kinect sensor
publishDate 2019
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065043971&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/65458
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