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Human Gait Modelling And Analysis

The goal of this research is to develop a simple and cost-effective gait analysis system to compute the joint moments of lower extremities in the sagittal plane with available tools and software. The proposed gait analysis system involves three devices which are a digital camera, a split-belt instru...

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Main Author: Chan, Yu T’ng
Format: Final Year Project / Dissertation / Thesis
Published: 2020
Subjects:
R Medicine (General)
Online Access:http://eprints.utar.edu.my/4233/1/1501920_FYPReport_%2D_YU_T_NG_CHAN.pdf
http://eprints.utar.edu.my/4233/
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id my-utar-eprints.4233
record_format eprints
spelling my-utar-eprints.42332021-08-18T11:49:33Z Human Gait Modelling And Analysis Chan, Yu T’ng R Medicine (General) The goal of this research is to develop a simple and cost-effective gait analysis system to compute the joint moments of lower extremities in the sagittal plane with available tools and software. The proposed gait analysis system involves three devices which are a digital camera, a split-belt instrumented treadmill (H/P Cosmos™ Instrumented Treadmill) and a personal computer equipped with Gaitway software and SkillSpector software. The digital camera and SkillSpector software were used as a motion capture system to acquire the trajectories of the markers and perform kinematic analysis to obtain linear and angular kinematic parameters. The coordinates of the markers obtained from SkillSpector together with the force data obtained from the treadmill and Gaitway software were then used as input to perform inverse dynamics analysis to obtain joint moment in the Microsoft Excel spread sheet. Two subjects (one male and one female) were recruited to test the system and the outputs of the system were then validated against existing data. In overall, the system produces reliable kinematic and kinetic results comparable to those experimental results. 2020 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4233/1/1501920_FYPReport_%2D_YU_T_NG_CHAN.pdf Chan, Yu T’ng (2020) Human Gait Modelling And Analysis. Final Year Project, UTAR. http://eprints.utar.edu.my/4233/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic R Medicine (General)
spellingShingle R Medicine (General)
Chan, Yu T’ng
Human Gait Modelling And Analysis
description The goal of this research is to develop a simple and cost-effective gait analysis system to compute the joint moments of lower extremities in the sagittal plane with available tools and software. The proposed gait analysis system involves three devices which are a digital camera, a split-belt instrumented treadmill (H/P Cosmos™ Instrumented Treadmill) and a personal computer equipped with Gaitway software and SkillSpector software. The digital camera and SkillSpector software were used as a motion capture system to acquire the trajectories of the markers and perform kinematic analysis to obtain linear and angular kinematic parameters. The coordinates of the markers obtained from SkillSpector together with the force data obtained from the treadmill and Gaitway software were then used as input to perform inverse dynamics analysis to obtain joint moment in the Microsoft Excel spread sheet. Two subjects (one male and one female) were recruited to test the system and the outputs of the system were then validated against existing data. In overall, the system produces reliable kinematic and kinetic results comparable to those experimental results.
format Final Year Project / Dissertation / Thesis
author Chan, Yu T’ng
author_facet Chan, Yu T’ng
author_sort Chan, Yu T’ng
title Human Gait Modelling And Analysis
title_short Human Gait Modelling And Analysis
title_full Human Gait Modelling And Analysis
title_fullStr Human Gait Modelling And Analysis
title_full_unstemmed Human Gait Modelling And Analysis
title_sort human gait modelling and analysis
publishDate 2020
url http://eprints.utar.edu.my/4233/1/1501920_FYPReport_%2D_YU_T_NG_CHAN.pdf
http://eprints.utar.edu.my/4233/
_version_ 1709672668694839296
score 13.211869

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