Motion capture sensing techniques used in human upper limb motion: a review

Purpose Motion capture system (MoCap) has been used in measuring the human body segments in several applications including film special effects, health care, outer-space and under-water navigation systems, sea-water exploration pursuits, human machine interaction and learning software to help teach...

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Main Authors:	Yahya, Muhammad, Shah, Jawad Ali, Abdul Kadir, Kushsairy, Mohd Yusof, Zulkhairi, Khan, Sheroz, Warsi, Arif
Format:	Article
Language:	English English
Published:	Emerald Publishing Limited 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/72547/ http://irep.iium.edu.my/72547/ http://irep.iium.edu.my/72547/ http://irep.iium.edu.my/72547/1/72547_Motion%20capture%20sensing%20technique.pdf http://irep.iium.edu.my/72547/7/72547_Motion%20capture%20sensing%20techniques%20used%20in%20human%20upper%20limb%20motion_scopus.pdf

id	iium-72547
recordtype	eprints
spelling	iium-725472019-08-19T06:31:41Z http://irep.iium.edu.my/72547/ Motion capture sensing techniques used in human upper limb motion: a review Yahya, Muhammad Shah, Jawad Ali Abdul Kadir, Kushsairy Mohd Yusof, Zulkhairi Khan, Sheroz Warsi, Arif TK Electrical engineering. Electronics Nuclear engineering Purpose Motion capture system (MoCap) has been used in measuring the human body segments in several applications including film special effects, health care, outer-space and under-water navigation systems, sea-water exploration pursuits, human machine interaction and learning software to help teachers of sign language. The purpose of this paper is to help the researchers to select specific MoCap system for various applications and the development of new algorithms related to upper limb motion. Design/methodology/approach This paper provides an overview of different sensors used in MoCap and techniques used for estimating human upper limb motion. Findings The existing MoCaps suffer from several issues depending on the type of MoCap used. These issues include drifting and placement of Inertial sensors, occlusion and jitters in Kinect, noise in electromyography signals and the requirement of a well-structured, calibrated environment and time-consuming task of placing markers in multiple camera systems. Originality/value This paper outlines the issues and challenges in MoCaps for measuring human upper limb motion and provides an overview on the techniques to overcome these issues and challenges. Emerald Publishing Limited 2019-06-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72547/1/72547_Motion%20capture%20sensing%20technique.pdf application/pdf en http://irep.iium.edu.my/72547/7/72547_Motion%20capture%20sensing%20techniques%20used%20in%20human%20upper%20limb%20motion_scopus.pdf Yahya, Muhammad and Shah, Jawad Ali and Abdul Kadir, Kushsairy and Mohd Yusof, Zulkhairi and Khan, Sheroz and Warsi, Arif (2019) Motion capture sensing techniques used in human upper limb motion: a review. Sensor Review. pp. 1-9. ISSN 0260-2288 (In Press) https://www.emeraldinsight.com/doi/pdfplus/10.1108/SR-10-2018-0270 https://doi.org/10.1108/SR-10-2018-0270
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Yahya, Muhammad Shah, Jawad Ali Abdul Kadir, Kushsairy Mohd Yusof, Zulkhairi Khan, Sheroz Warsi, Arif Motion capture sensing techniques used in human upper limb motion: a review
description	Purpose Motion capture system (MoCap) has been used in measuring the human body segments in several applications including film special effects, health care, outer-space and under-water navigation systems, sea-water exploration pursuits, human machine interaction and learning software to help teachers of sign language. The purpose of this paper is to help the researchers to select specific MoCap system for various applications and the development of new algorithms related to upper limb motion. Design/methodology/approach This paper provides an overview of different sensors used in MoCap and techniques used for estimating human upper limb motion. Findings The existing MoCaps suffer from several issues depending on the type of MoCap used. These issues include drifting and placement of Inertial sensors, occlusion and jitters in Kinect, noise in electromyography signals and the requirement of a well-structured, calibrated environment and time-consuming task of placing markers in multiple camera systems. Originality/value This paper outlines the issues and challenges in MoCaps for measuring human upper limb motion and provides an overview on the techniques to overcome these issues and challenges.
format	Article
author	Yahya, Muhammad Shah, Jawad Ali Abdul Kadir, Kushsairy Mohd Yusof, Zulkhairi Khan, Sheroz Warsi, Arif
author_facet	Yahya, Muhammad Shah, Jawad Ali Abdul Kadir, Kushsairy Mohd Yusof, Zulkhairi Khan, Sheroz Warsi, Arif
author_sort	Yahya, Muhammad
title	Motion capture sensing techniques used in human upper limb motion: a review
title_short	Motion capture sensing techniques used in human upper limb motion: a review
title_full	Motion capture sensing techniques used in human upper limb motion: a review
title_fullStr	Motion capture sensing techniques used in human upper limb motion: a review
title_full_unstemmed	Motion capture sensing techniques used in human upper limb motion: a review
title_sort	motion capture sensing techniques used in human upper limb motion: a review
publisher	Emerald Publishing Limited
publishDate	2019
url	http://irep.iium.edu.my/72547/ http://irep.iium.edu.my/72547/ http://irep.iium.edu.my/72547/ http://irep.iium.edu.my/72547/1/72547_Motion%20capture%20sensing%20technique.pdf http://irep.iium.edu.my/72547/7/72547_Motion%20capture%20sensing%20techniques%20used%20in%20human%20upper%20limb%20motion_scopus.pdf
first_indexed	2023-09-18T21:42:47Z
last_indexed	2023-09-18T21:42:47Z
_version_	1777413251349348352

Motion capture sensing techniques used in human upper limb motion: a review

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