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

Motion capture sensing techniques used in human upper limb motion: a review 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/approachThis paper provides an overview of different sensors used in MoCap and techniques used for estimating human upper limb motion.FindingsThe 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/valueThis 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sensor Review Emerald Publishing

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

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0260-2288
DOI
10.1108/sr-10-2018-0270
Publisher site
See Article on Publisher Site

Abstract

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/approachThis paper provides an overview of different sensors used in MoCap and techniques used for estimating human upper limb motion.FindingsThe 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/valueThis 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.

Journal

Sensor ReviewEmerald Publishing

Published: Jul 26, 2019

Keywords: Motion estimation; Motion capture system; Upper limb; Upper limb motion

References