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

Muhammad Yahya (Department of Electrical and Electronics, University of Kuala Lumpur - British Malaysian Institute, Gombak, Malaysia)
Jawad Ali Shah (Department of Electrical and Electronics, University of Kuala Lumpur - British Malaysian Institute, Gombak, Malaysia)
Kushsairy Abdul Kadir (Department of Electrical and Electronics, University of Kuala Lumpur - British Malaysian Institute, Gombak, Malaysia)
Zulkhairi M. Yusof (Department of Electrical and Electronics, University of Kuala Lumpur - British Malaysian Institute, Gombak, Malaysia)
Sheroz Khan (International Islamic University Malaysia Kulliyyah of Engineering, Kuala Lumpur, Wilayah Persekutuan, Malaysia)
Arif Warsi (University of Kuala Lumpur, Kuala Lumpur, Malaysia)

Sensor Review

ISSN: 0260-2288

Article publication date: 11 June 2019

Issue publication date: 26 July 2019

Abstract

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.

Keywords

Acknowledgements

This research has been generously supported by a research grant by the Ministry of Science, Technology and Innovation (MOSTI) under the Program Flagship DSTIN for the development of a new technology identified as “Building Our Robotic Competitiveness in Medical Healthcare: Development of Robots for Assisted Recovery and Rehabilitation”.

Citation

Yahya, M., Shah, J.A., Kadir, K.A., Yusof, Z.M., Khan, S. and Warsi, A. (2019), "Motion capture sensing techniques used in human upper limb motion: a review", Sensor Review, Vol. 39 No. 4, pp. 504-511. https://doi.org/10.1108/SR-10-2018-0270

Publisher

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Emerald Publishing Limited

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