Markerless motion capture system via kinematic analysis of angular lower limb

The introduction of markerless sensor technology in motion capture system offers a comparable alternative to the conventional systems by employing infrared-depth sensors and retaining the ability to acquire two (2D) and three-dimensional (3D) data on human movement. However, its accuracy is often qu...

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Main Author:	Khairu Razak, Siti Badriah
Format:	Thesis
Language:	English English English
Published:	2022
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.uthm.edu.my/8348/1/24p%20SITI%20BADRIAH%20KHAIRU%20RAZAK.pdf http://eprints.uthm.edu.my/8348/2/SITI%20BADRIAH%20KHAIRU%20RAZAK%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8348/3/SITI%20BADRIAH%20KHAIRU%20RAZAK%20WATERMARK.pdf
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id	my-uthm-ep.8348
record_format	uketd_dc
spelling	my-uthm-ep.83482023-02-15T07:21:30Z Markerless motion capture system via kinematic analysis of angular lower limb 2022-08 Khairu Razak, Siti Badriah TA Engineering (General). Civil engineering (General) The introduction of markerless sensor technology in motion capture system offers a comparable alternative to the conventional systems by employing infrared-depth sensors and retaining the ability to acquire two (2D) and three-dimensional (3D) data on human movement. However, its accuracy is often questioned compared to the established technologies such as passive marker systems. Therefore, this study sets an alternative method to evaluate Kinect Xbox 360 markerless system accuracy based on two positioning coordinates of two pairs of sensors. Through this approach, the length of lower limb segments was measured in 2D and 3D on each motion frame while performing squat movement and compared with the actual segment length. Interestingly, all segment lengths in the 3D showed excellent accuracy with the actual length of the segment. The angle of knee joints was also evaluated to identify the types of squat movements. The same evaluation is also used for the accuracy of a passive marker system while capturing the turning kick motion. In addition, the velocity of the knee joint was also studied at each phase of movement to determine the speed and angular of the knee required to enable the subject's foot to reach the target. For validation purposes, simulations of all recorded motions were implemented to evaluate the squat and the phases of movement in a turning kick from a visual angle. Successfully, the study was able to compare the accuracy and precision of the system constructed using lower limb data relative to the passive marker system using actual lower limb data. The markerless gave a remarkable difference value between the highest and lowest percentage coefficients of variation with 3.90%, while the passive marker system gave 5.72%. It is suggested that the multi-camera markerless motion capture system used in this study be used only for applications that do not require a significant level of accuracy such as animations, gaming and recreational sports analyses. 2022-08 Thesis http://eprints.uthm.edu.my/8348/ http://eprints.uthm.edu.my/8348/1/24p%20SITI%20BADRIAH%20KHAIRU%20RAZAK.pdf text en public http://eprints.uthm.edu.my/8348/2/SITI%20BADRIAH%20KHAIRU%20RAZAK%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8348/3/SITI%20BADRIAH%20KHAIRU%20RAZAK%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Mekanikal dan Pembuatan
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Khairu Razak, Siti Badriah Markerless motion capture system via kinematic analysis of angular lower limb
description	The introduction of markerless sensor technology in motion capture system offers a comparable alternative to the conventional systems by employing infrared-depth sensors and retaining the ability to acquire two (2D) and three-dimensional (3D) data on human movement. However, its accuracy is often questioned compared to the established technologies such as passive marker systems. Therefore, this study sets an alternative method to evaluate Kinect Xbox 360 markerless system accuracy based on two positioning coordinates of two pairs of sensors. Through this approach, the length of lower limb segments was measured in 2D and 3D on each motion frame while performing squat movement and compared with the actual segment length. Interestingly, all segment lengths in the 3D showed excellent accuracy with the actual length of the segment. The angle of knee joints was also evaluated to identify the types of squat movements. The same evaluation is also used for the accuracy of a passive marker system while capturing the turning kick motion. In addition, the velocity of the knee joint was also studied at each phase of movement to determine the speed and angular of the knee required to enable the subject's foot to reach the target. For validation purposes, simulations of all recorded motions were implemented to evaluate the squat and the phases of movement in a turning kick from a visual angle. Successfully, the study was able to compare the accuracy and precision of the system constructed using lower limb data relative to the passive marker system using actual lower limb data. The markerless gave a remarkable difference value between the highest and lowest percentage coefficients of variation with 3.90%, while the passive marker system gave 5.72%. It is suggested that the multi-camera markerless motion capture system used in this study be used only for applications that do not require a significant level of accuracy such as animations, gaming and recreational sports analyses.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Khairu Razak, Siti Badriah
author_facet	Khairu Razak, Siti Badriah
author_sort	Khairu Razak, Siti Badriah
title	Markerless motion capture system via kinematic analysis of angular lower limb
title_short	Markerless motion capture system via kinematic analysis of angular lower limb
title_full	Markerless motion capture system via kinematic analysis of angular lower limb
title_fullStr	Markerless motion capture system via kinematic analysis of angular lower limb
title_full_unstemmed	Markerless motion capture system via kinematic analysis of angular lower limb
title_sort	markerless motion capture system via kinematic analysis of angular lower limb
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Mekanikal dan Pembuatan
publishDate	2022
url	http://eprints.uthm.edu.my/8348/1/24p%20SITI%20BADRIAH%20KHAIRU%20RAZAK.pdf http://eprints.uthm.edu.my/8348/2/SITI%20BADRIAH%20KHAIRU%20RAZAK%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8348/3/SITI%20BADRIAH%20KHAIRU%20RAZAK%20WATERMARK.pdf
_version_	1776103325694951424

Markerless motion capture system via kinematic analysis of angular lower limb

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